Pandas Profiling Report

Dataset statistics

Number of variables	101
Number of observations	42757
Missing cells	1419102
Missing cells (%)	32.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	32.9 MiB
Average record size in memory	808.0 B

Variable types

Categorical	63
Numeric	18
Unsupported	20

Warnings

`ExamCenterID` has constant value "1.0"	Constant
`PCLLocationID` has constant value "0.0"	Constant
`InstitutionTypeID` has constant value "0.0"	Constant
`RejectReason` has constant value "Rejected Duplicate Entry"	Constant
`ExamDurationMinute` has constant value "120.0"	Constant
`IsResultImmediately` has constant value "0.0"	Constant
`PageSize` has constant value "20.0"	Constant
`FacultyID` has constant value "2.0"	Constant
`LevelID` has constant value "1.0"	Constant
`FacultyName` has constant value "Engineering"	Constant
`LevelName` has constant value "BE / B.Arch."	Constant
`FormNo` has a high cardinality: 42755 distinct values	High cardinality
`FirstName` has a high cardinality: 10332 distinct values	High cardinality
`MiddleName` has a high cardinality: 1014 distinct values	High cardinality
`LastName` has a high cardinality: 3287 distinct values	High cardinality
`MunicipalityVdc` has a high cardinality: 10899 distinct values	High cardinality
`SLCSchoolName` has a high cardinality: 26224 distinct values	High cardinality
`PCLSchoolName` has a high cardinality: 15347 distinct values	High cardinality
`FatherFirstName` has a high cardinality: 9331 distinct values	High cardinality
`FatherMiddleName` has a high cardinality: 1477 distinct values	High cardinality
`FatherLastName` has a high cardinality: 3633 distinct values	High cardinality
`MotherFirstName` has a high cardinality: 8196 distinct values	High cardinality
`MotherMiddleName` has a high cardinality: 993 distinct values	High cardinality
`MotherLastName` has a high cardinality: 3801 distinct values	High cardinality
`DistrictName` has a high cardinality: 75 distinct values	High cardinality
`FullName` has a high cardinality: 36272 distinct values	High cardinality
`StudentCode` has a high cardinality: 31342 distinct values	High cardinality
`Email` has a high cardinality: 30138 distinct values	High cardinality
`SLCBoardSpecify` has a high cardinality: 113 distinct values	High cardinality
`PCLBoardSpecify` has a high cardinality: 117 distinct values	High cardinality
`SLCSchoolFullAddress` has a high cardinality: 504 distinct values	High cardinality
`PCLSchoolFullAddress` has a high cardinality: 619 distinct values	High cardinality
`Password` has a high cardinality: 31497 distinct values	High cardinality
`ExamSessionName` has a high cardinality: 155 distinct values	High cardinality
`SLCPassedYear` is highly correlated with `PCLPassedYear` and 1 other fields	High correlation
`SLCPercentage` is highly correlated with `PCLPercentage` and 5 other fields	High correlation
`PCLPercentage` is highly correlated with `SLCPercentage` and 5 other fields	High correlation
`PCLPassedYear` is highly correlated with `SLCPassedYear` and 1 other fields	High correlation
`EthnicGroupID` is highly correlated with `SLCPassedYear` and 2 other fields	High correlation
`DistrictCode` is highly correlated with `ZoneID`	High correlation
`EntranceScore` is highly correlated with `EntranceRank`	High correlation
`EntranceRank` is highly correlated with `EntranceScore`	High correlation
`StudentID` is highly correlated with `Capacity` and 2 other fields	High correlation
`ExamSessionID` is highly correlated with `FormIndex`	High correlation
`ZoneID` is highly correlated with `DistrictCode` and 1 other fields	High correlation
`DistrictID` is highly correlated with `ZoneID` and 1 other fields	High correlation
`PCLEquivalentID` is highly correlated with `PCLBoardID`	High correlation
`PCLBoardID` is highly correlated with `PCLEquivalentID`	High correlation
`SLCSchoolDistrictID` is highly correlated with `DistrictID` and 1 other fields	High correlation
`PCLSchoolDistrictID` is highly correlated with `SLCSchoolDistrictID`	High correlation
`IsAccepted` is highly correlated with `FormStatus`	High correlation
`Capacity` is highly correlated with `SLCPercentage` and 5 other fields	High correlation
`FormStatus` is highly correlated with `IsAccepted`	High correlation
`HasStudentAttemptedExam` is highly correlated with `SLCPercentage` and 5 other fields	High correlation
`FormIndex` is highly correlated with `ExamSessionID`	High correlation
`FiscalYearID` is highly correlated with `SLCPercentage` and 5 other fields	High correlation
`FiscalYearName` is highly correlated with `SLCPercentage` and 6 other fields	High correlation
`PhotoDocumentID` is highly correlated with `SLCPercentage` and 6 other fields	High correlation
`SLCPassedYear` is highly correlated with `SLCPercentage` and 7 other fields	High correlation
`SLCPercentage` is highly correlated with `SLCPassedYear` and 6 other fields	High correlation
`PCLPercentage` is highly correlated with `SLCPercentage` and 5 other fields	High correlation
`PCLPassedYear` is highly correlated with `SLCPassedYear` and 2 other fields	High correlation
`EthnicGroupID` is highly correlated with `SLCPassedYear` and 2 other fields	High correlation
`DistrictCode` is highly correlated with `ZoneID`	High correlation
`EntranceScore` is highly correlated with `EntranceRank`	High correlation
`EntranceRank` is highly correlated with `EntranceScore`	High correlation
`StudentID` is highly correlated with `Capacity` and 1 other fields	High correlation
`NationalityID` is highly correlated with `CountryID`	High correlation
`CountryID` is highly correlated with `NationalityID`	High correlation
`ExamSessionID` is highly correlated with `FormIndex`	High correlation
`ZoneID` is highly correlated with `DistrictCode` and 1 other fields	High correlation
`DistrictID` is highly correlated with `ZoneID` and 1 other fields	High correlation
`PCLEquivalentID` is highly correlated with `PCLBoardID`	High correlation
`PCLBoardID` is highly correlated with `PCLEquivalentID`	High correlation
`SLCSchoolDistrictID` is highly correlated with `DistrictID` and 1 other fields	High correlation
`PCLSchoolDistrictID` is highly correlated with `SLCSchoolDistrictID`	High correlation
`IsAccepted` is highly correlated with `FormStatus`	High correlation
`Capacity` is highly correlated with `SLCPassedYear` and 6 other fields	High correlation
`FormStatus` is highly correlated with `IsAccepted`	High correlation
`HasStudentAttemptedExam` is highly correlated with `SLCPassedYear` and 6 other fields	High correlation
`FormIndex` is highly correlated with `ExamSessionID`	High correlation
`FiscalYearID` is highly correlated with `SLCPassedYear` and 6 other fields	High correlation
`FiscalYearName` is highly correlated with `SLCPassedYear` and 8 other fields	High correlation
`PhotoDocumentID` is highly correlated with `SLCPassedYear` and 6 other fields	High correlation
`SLCPassedYear` is highly correlated with `PCLPassedYear` and 6 other fields	High correlation
`SLCPercentage` is highly correlated with `PCLPercentage` and 4 other fields	High correlation
`PCLPercentage` is highly correlated with `SLCPercentage` and 1 other fields	High correlation
`PCLPassedYear` is highly correlated with `SLCPassedYear` and 1 other fields	High correlation
`EthnicGroupID` is highly correlated with `SLCPassedYear` and 2 other fields	High correlation
`EntranceScore` is highly correlated with `EntranceRank`	High correlation
`EntranceRank` is highly correlated with `EntranceScore`	High correlation
`StudentID` is highly correlated with `Capacity`	High correlation
`NationalityID` is highly correlated with `CountryID`	High correlation
`CountryID` is highly correlated with `NationalityID`	High correlation
`DistrictID` is highly correlated with `SLCSchoolDistrictID`	High correlation
`PCLEquivalentID` is highly correlated with `PCLBoardID`	High correlation
`PCLBoardID` is highly correlated with `PCLEquivalentID`	High correlation
`SLCSchoolDistrictID` is highly correlated with `DistrictID` and 1 other fields	High correlation
`PCLSchoolDistrictID` is highly correlated with `SLCSchoolDistrictID`	High correlation
`IsAccepted` is highly correlated with `FormStatus`	High correlation
`Capacity` is highly correlated with `SLCPassedYear` and 5 other fields	High correlation
`FormStatus` is highly correlated with `IsAccepted`	High correlation
`HasStudentAttemptedExam` is highly correlated with `SLCPassedYear` and 5 other fields	High correlation
`FiscalYearID` is highly correlated with `SLCPassedYear` and 5 other fields	High correlation
`FiscalYearName` is highly correlated with `SLCPassedYear` and 5 other fields	High correlation
`PhotoDocumentID` is highly correlated with `SLCPassedYear` and 5 other fields	High correlation
`ExamSessionID` is highly correlated with `FiscalYearID` and 7 other fields	High correlation
`SLCBoardID` is highly correlated with `SLCBoardName`	High correlation
`IsAccepted` is highly correlated with `FormStatus`	High correlation
`FiscalYearID` is highly correlated with `ExamSessionID` and 9 other fields	High correlation
`Active` is highly correlated with `FormStatus`	High correlation
`CreatedBy` is highly correlated with `ModifiedBy`	High correlation
`CountryID` is highly correlated with `NationalityName` and 1 other fields	High correlation
`SLCBoardName` is highly correlated with `SLCBoardID`	High correlation
`DistrictID` is highly correlated with `SLCSchoolDistrictID` and 4 other fields	High correlation
`Capacity` is highly correlated with `ExamSessionID` and 8 other fields	High correlation
`IdentificationTypeName` is highly correlated with `IdentificationTypeID`	High correlation
`SLCPercentage` is highly correlated with `FiscalYearID` and 8 other fields	High correlation
`NationalityName` is highly correlated with `CountryID` and 1 other fields	High correlation
`PhotoDocumentID` is highly correlated with `ExamSessionID` and 10 other fields	High correlation
`PCLPassedYearCalendar` is highly correlated with `SLCPassedYearCalendar` and 4 other fields	High correlation
`EthnicGroupID` is highly correlated with `SLCPercentage` and 4 other fields	High correlation
`ModifiedBy` is highly correlated with `FiscalYearID` and 5 other fields	High correlation
`FormStatus` is highly correlated with `IsAccepted` and 1 other fields	High correlation
`IdentificationTypeID` is highly correlated with `IdentificationTypeName`	High correlation
`SLCPassedYearCalendar` is highly correlated with `PCLPassedYearCalendar` and 2 other fields	High correlation
`PCLBoardID` is highly correlated with `PCLPassedYearCalendar` and 2 other fields	High correlation
`SLCPassedYear` is highly correlated with `SLCPassedYearCalendar` and 2 other fields	High correlation
`PCLBoardName` is highly correlated with `PCLPassedYearCalendar` and 4 other fields	High correlation
`PCLEquivalentID` is highly correlated with `PCLBoardID` and 1 other fields	High correlation
`PCLPassedYear` is highly correlated with `PCLPassedYearCalendar` and 2 other fields	High correlation
`HasStudentAttemptedExam` is highly correlated with `ExamSessionID` and 9 other fields	High correlation
`SLCSchoolDistrictID` is highly correlated with `DistrictID` and 4 other fields	High correlation
`PCLSchoolDistrictID` is highly correlated with `DistrictID` and 4 other fields	High correlation
`PCLResultTypeID` is highly correlated with `PCLPassedYearCalendar`	High correlation
`EntranceRank` is highly correlated with `EthnicGroupID` and 1 other fields	High correlation
`ShiftName` is highly correlated with `ShiftID`	High correlation
`FormIndex` is highly correlated with `ExamSessionID` and 2 other fields	High correlation
`NationalityID` is highly correlated with `CountryID` and 1 other fields	High correlation
`PCLPercentage` is highly correlated with `FiscalYearID` and 8 other fields	High correlation
`DistrictName` is highly correlated with `DistrictID` and 5 other fields	High correlation
`EntranceScore` is highly correlated with `EthnicGroupID` and 2 other fields	High correlation
`date` is highly correlated with `ExamSessionID` and 9 other fields	High correlation
`FiscalYearName` is highly correlated with `ExamSessionID` and 8 other fields	High correlation
`DistrictCode` is highly correlated with `DistrictID` and 4 other fields	High correlation
`ShiftID` is highly correlated with `ShiftName`	High correlation
`ZoneID` is highly correlated with `DistrictID` and 4 other fields	High correlation
`StudentID` is highly correlated with `ExamSessionID` and 10 other fields	High correlation
`MiddleName` has 33685 (78.8%) missing values	Missing
`PCLPercentage` has 33398 (78.1%) missing values	Missing
`PCLPassedYear` has 33287 (77.9%) missing values	Missing
`EthnicGroupID` has 42750 (> 99.9%) missing values	Missing
`FatherMiddleName` has 13539 (31.7%) missing values	Missing
`MotherMiddleName` has 26118 (61.1%) missing values	Missing
`EntranceScore` has 22859 (53.5%) missing values	Missing
`EntranceRank` has 22859 (53.5%) missing values	Missing
`StudentID` has 10741 (25.1%) missing values	Missing
`VoucherNo` has 10741 (25.1%) missing values	Missing
`StudentCode` has 10741 (25.1%) missing values	Missing
`ContactNo` has 10741 (25.1%) missing values	Missing
`Email` has 10741 (25.1%) missing values	Missing
`NationalityID` has 10741 (25.1%) missing values	Missing
`CountryID` has 10741 (25.1%) missing values	Missing
`IndianEmbassyID` has 42757 (100.0%) missing values	Missing
`ExamCenterID` has 10745 (25.1%) missing values	Missing
`ExamSessionID` has 10745 (25.1%) missing values	Missing
`ZoneID` has 10769 (25.2%) missing values	Missing
`DistrictID` has 10769 (25.2%) missing values	Missing
`SLCEquivalentID` has 10741 (25.1%) missing values	Missing
`SLCBoardID` has 10741 (25.1%) missing values	Missing
`PCLEquivalentID` has 10741 (25.1%) missing values	Missing
`PCLBoardID` has 10741 (25.1%) missing values	Missing
`PCLResultTypeID` has 10741 (25.1%) missing values	Missing
`PCLLocationID` has 10741 (25.1%) missing values	Missing
`EthnicGroupSpecify` has 42755 (> 99.9%) missing values	Missing
`SLCEquivalentSpecify` has 41761 (97.7%) missing values	Missing
`SLCBoardSpecify` has 42266 (98.9%) missing values	Missing
`PCLEquivalentSpecify` has 42674 (99.8%) missing values	Missing
`PCLBoardSpecify` has 42027 (98.3%) missing values	Missing
`SLCSchoolDistrictID` has 11138 (26.0%) missing values	Missing
`SLCSchoolFullAddress` has 42215 (98.7%) missing values	Missing
`PCLSchoolDistrictID` has 11453 (26.8%) missing values	Missing
`PCLSchoolFullAddress` has 41896 (98.0%) missing values	Missing
`InstitutionTypeID` has 10741 (25.1%) missing values	Missing
`IdentificationTypeID` has 10741 (25.1%) missing values	Missing
`IdentificationNo` has 10741 (25.1%) missing values	Missing
`FormSubmittedDate` has 10743 (25.1%) missing values	Missing
`CheckedBy` has 42757 (100.0%) missing values	Missing
`IsAccepted` has 10770 (25.2%) missing values	Missing
`IsSubmitted` has 10741 (25.1%) missing values	Missing
`Password` has 10741 (25.1%) missing values	Missing
`RejectReason` has 42752 (> 99.9%) missing values	Missing
`ExamSessionName` has 10745 (25.1%) missing values	Missing
`ExamSessionDateAD` has 10745 (25.1%) missing values	Missing
`ExamSessionDateBS` has 10745 (25.1%) missing values	Missing
`Capacity` has 10745 (25.1%) missing values	Missing
`ExamDurationMinute` has 10745 (25.1%) missing values	Missing
`IsResultImmediately` has 10745 (25.1%) missing values	Missing
`PageSize` has 10745 (25.1%) missing values	Missing
`ShiftName` has 10745 (25.1%) missing values	Missing
`StartTime` has 10745 (25.1%) missing values	Missing
`EndTime` has 10745 (25.1%) missing values	Missing
`FormStatus` has 10741 (25.1%) missing values	Missing
`HasStudentAttemptedExam` has 10741 (25.1%) missing values	Missing
`FormIndex` has 10743 (25.1%) missing values	Missing
`FacultyID` has 10745 (25.1%) missing values	Missing
`LevelID` has 10745 (25.1%) missing values	Missing
`ShiftID` has 10745 (25.1%) missing values	Missing
`FiscalYearID` has 10745 (25.1%) missing values	Missing
`FacultyName` has 10745 (25.1%) missing values	Missing
`LevelName` has 10745 (25.1%) missing values	Missing
`FiscalYearName` has 10745 (25.1%) missing values	Missing
`RollNoString` has 42757 (100.0%) missing values	Missing
`PhotoDocumentID` has 10741 (25.1%) missing values	Missing
`ExamRollNo` has 42757 (100.0%) missing values	Missing
`Active` has 10741 (25.1%) missing values	Missing
`ExamStartedTime` has 11569 (27.1%) missing values	Missing
`CreatedBy` has 10741 (25.1%) missing values	Missing
`CreatedDate` has 10741 (25.1%) missing values	Missing
`ModifiedBy` has 35537 (83.1%) missing values	Missing
`ModifiedDate` has 35537 (83.1%) missing values	Missing
`SLCBoardName` has 30049 (70.3%) missing values	Missing
`PCLBoardName` has 30049 (70.3%) missing values	Missing
`ContactNo` is highly skewed (γ1 = 22.46132012)	Skewed
`FormNo` is uniformly distributed	Uniform
`FullName` is uniformly distributed	Uniform
`StudentCode` is uniformly distributed	Uniform
`EthnicGroupSpecify` is uniformly distributed	Uniform
`SLCSchoolFullAddress` is uniformly distributed	Uniform
`Password` is uniformly distributed	Uniform
`BirthDateBS` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`BirthDateAD` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`SLCSymbolNo` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`PCLSymbolNo` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`VoucherNo` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`IndianEmbassyID` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`SLCEquivalentSpecify` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`PCLEquivalentSpecify` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`IdentificationNo` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`FormSubmittedDate` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`CheckedBy` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`ExamSessionDateAD` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`ExamSessionDateBS` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`StartTime` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`EndTime` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`RollNoString` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`ExamRollNo` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`ExamStartedTime` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`CreatedDate` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`ModifiedDate` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2021-05-15 04:29:49.937221
Analysis finished	2021-05-15 04:31:13.072389
Duration	1 minute and 23.14 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

FormNo
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	42755
Distinct (%)	100.0%
Missing	2
Missing (%)	< 0.1%
Memory size	334.2 KiB

2077-6238	1
2076-9852	1
2077-4138	1
2074-9496	1
2077-1191	1
Other values (42750)	42750

Length

Max length	10
Median length	9
Mean length	9.056227342
Min length	6

Characters and Unicode

Total characters	387199
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	42755 ?
Unique (%)	100.0%

Sample

1st row	2073-1
2nd row	2073-2
3rd row	2073-3
4th row	2073-4
5th row	2073-5

Common Values

Value	Count	Frequency (%)
2077-6238	1	< 0.1%
2076-9852	1	< 0.1%
2077-4138	1	< 0.1%
2074-9496	1	< 0.1%
2077-1191	1	< 0.1%
2076-10028	1	< 0.1%
2077-7617	1	< 0.1%
2074-5581	1	< 0.1%
2074-8205	1	< 0.1%
2076-7382	1	< 0.1%
Other values (42745)	42745	> 99.9%
(Missing)	2	< 0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2077-964	1	< 0.1%
2077-6238	1	< 0.1%
2076-9852	1	< 0.1%
2077-4138	1	< 0.1%
2074-9496	1	< 0.1%
2077-1191	1	< 0.1%
2076-10028	1	< 0.1%
2077-7617	1	< 0.1%
2074-5581	1	< 0.1%
2074-8205	1	< 0.1%
Other values (42745)	42745	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
7	71802	18.5%
2	60584	15.6%
0	58439	15.1%
-	42755	11.0%
4	28827	7.4%
3	27331	7.1%
1	25642	6.6%
6	23347	6.0%
5	16417	4.2%
8	16055	4.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	344444	89.0%
Dash Punctuation	42755	11.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	71802	20.8%
2	60584	17.6%
0	58439	17.0%
4	28827	8.4%
3	27331	7.9%
1	25642	7.4%
6	23347	6.8%
5	16417	4.8%
8	16055	4.7%
9	16000	4.6%

Dash Punctuation

Value	Count	Frequency (%)
-	42755	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	387199	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	71802	18.5%
2	60584	15.6%
0	58439	15.1%
-	42755	11.0%
4	28827	7.4%
3	27331	7.1%
1	25642	6.6%
6	23347	6.0%
5	16417	4.2%
8	16055	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387199	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	71802	18.5%
2	60584	15.6%
0	58439	15.1%
-	42755	11.0%
4	28827	7.4%
3	27331	7.1%
1	25642	6.6%
6	23347	6.0%
5	16417	4.2%
8	16055	4.1%

FirstName
Categorical

HIGH CARDINALITY

Distinct	10332
Distinct (%)	24.2%
Missing	0
Missing (%)	0.0%
Memory size	334.2 KiB

Bibek	335
Roshan	301
Sagar	253
Bishal	242
Manish	238
Other values (10327)	41388

Length

Max length	24
Median length	6
Mean length	6.041817714
Min length	2

Characters and Unicode

Total characters	258330
Distinct characters	55
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6533 ?
Unique (%)	15.3%

Sample

1st row	Aashutosh
2nd row	Bikal
3rd row	Shramik
4th row	SHISHIR
5th row	durga

Common Values

Value	Count	Frequency (%)
Bibek	335	0.8%
Roshan	301	0.7%
Sagar	253	0.6%
Bishal	242	0.6%
Manish	238	0.6%
Santosh	216	0.5%
Suman	212	0.5%
Nabin	212	0.5%
Sandesh	203	0.5%
Abhishek	200	0.5%
Other values (10322)	40345	94.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
bibek	469	1.1%
roshan	380	0.9%
sagar	343	0.8%
santosh	328	0.8%
manish	328	0.8%
bishal	326	0.8%
nabin	284	0.7%
suman	283	0.7%
sujan	275	0.6%
suraj	275	0.6%
Other values (6852)	39547	92.3%

Most occurring characters

Value	Count	Frequency (%)
a	37242	14.4%
i	19316	7.5%
h	17471	6.8%
n	15585	6.0%
s	14184	5.5%
A	13156	5.1%
S	12581	4.9%
r	11380	4.4%
e	8320	3.2%
u	8055	3.1%
Other values (45)	101040	39.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	182608	70.7%
Uppercase Letter	72688	28.1%
Space Separator	2995	1.2%
Other Punctuation	38	< 0.1%
Dash Punctuation	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	13156	18.1%
S	12581	17.3%
R	6025	8.3%
N	4937	6.8%
B	4359	6.0%
P	4083	5.6%
I	3650	5.0%
H	3460	4.8%
M	3061	4.2%
D	2805	3.9%
Other values (16)	14571	20.0%

Lowercase Letter

Value	Count	Frequency (%)
a	37242	20.4%
i	19316	10.6%
h	17471	9.6%
n	15585	8.5%
s	14184	7.8%
r	11380	6.2%
e	8320	4.6%
u	8055	4.4%
t	6114	3.3%
m	5642	3.1%
Other values (16)	39299	21.5%

Space Separator

Value	Count	Frequency (%)
	2995	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	38	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	255296	98.8%
Common	3034	1.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	37242	14.6%
i	19316	7.6%
h	17471	6.8%
n	15585	6.1%
s	14184	5.6%
A	13156	5.2%
S	12581	4.9%
r	11380	4.5%
e	8320	3.3%
u	8055	3.2%
Other values (42)	98006	38.4%

Common

Value	Count	Frequency (%)
	2995	98.7%
.	38	1.3%
-	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	258330	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	37242	14.4%
i	19316	7.5%
h	17471	6.8%
n	15585	6.0%
s	14184	5.5%
A	13156	5.1%
S	12581	4.9%
r	11380	4.4%
e	8320	3.2%
u	8055	3.1%
Other values (45)	101040	39.1%

MiddleName
Categorical

HIGH CARDINALITY
MISSING

Distinct	1014
Distinct (%)	11.2%
Missing	33685
Missing (%)	78.8%
Memory size	334.2 KiB

Kumar	2635
KUMAR	707
Raj	568
kumar	405
Prasad	390
Other values (1009)	4367

Length

Max length	34
Median length	5
Mean length	5.226741623
Min length	1

Characters and Unicode

Total characters	47417
Distinct characters	54
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	696 ?
Unique (%)	7.7%

Sample

1st row	raj
2nd row	Sagar
3rd row	KUMAR
4th row	Khadka
5th row	Ram

Common Values

Value	Count	Frequency (%)
Kumar	2635	6.2%
KUMAR	707	1.7%
Raj	568	1.3%
kumar	405	0.9%
Prasad	390	0.9%
Bahadur	314	0.7%
Kumar	173	0.4%
Singh	161	0.4%
Kumari	154	0.4%
RAJ	120	0.3%
Other values (1004)	3445	8.1%
(Missing)	33685	78.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kumar	4003	43.9%
raj	779	8.5%
prasad	577	6.3%
bahadur	442	4.8%
singh	237	2.6%
kumari	231	2.5%
thapa	127	1.4%
prakash	117	1.3%
narayan	111	1.2%
bikram	104	1.1%
Other values (678)	2399	26.3%

Most occurring characters

Value	Count	Frequency (%)
a	8800	18.6%
r	5329	11.2%
u	4206	8.9%
K	4109	8.7%
m	3846	8.1%
R	2118	4.5%
A	1959	4.1%
h	1631	3.4%
n	1142	2.4%
d	1117	2.4%
Other values (44)	13160	27.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	31689	66.8%
Uppercase Letter	15047	31.7%
Space Separator	664	1.4%
Other Punctuation	11	< 0.1%
Dash Punctuation	6	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	8800	27.8%
r	5329	16.8%
u	4206	13.3%
m	3846	12.1%
h	1631	5.1%
n	1142	3.6%
d	1117	3.5%
i	1017	3.2%
s	879	2.8%
k	820	2.6%
Other values (16)	2902	9.2%

Uppercase Letter

Value	Count	Frequency (%)
K	4109	27.3%
R	2118	14.1%
A	1959	13.0%
M	1031	6.9%
U	988	6.6%
P	819	5.4%
B	776	5.2%
S	764	5.1%
D	402	2.7%
N	389	2.6%
Other values (15)	1692	11.2%

Space Separator

Value	Count	Frequency (%)
	664	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	11	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	46736	98.6%
Common	681	1.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	8800	18.8%
r	5329	11.4%
u	4206	9.0%
K	4109	8.8%
m	3846	8.2%
R	2118	4.5%
A	1959	4.2%
h	1631	3.5%
n	1142	2.4%
d	1117	2.4%
Other values (41)	12479	26.7%

Common

Value	Count	Frequency (%)
	664	97.5%
.	11	1.6%
-	6	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	47417	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	8800	18.6%
r	5329	11.2%
u	4206	8.9%
K	4109	8.7%
m	3846	8.1%
R	2118	4.5%
A	1959	4.1%
h	1631	3.4%
n	1142	2.4%
d	1117	2.4%
Other values (44)	13160	27.8%

LastName
Categorical

HIGH CARDINALITY

Distinct	3287
Distinct (%)	7.7%
Missing	0
Missing (%)	0.0%
Memory size	334.2 KiB

Shrestha	1852
Yadav	1304
Adhikari	841
Sah	833
Chaudhary	721
Other values (3282)	37206

Length

Max length	20
Median length	6
Mean length	6.196131628
Min length	2

Characters and Unicode

Total characters	264928
Distinct characters	57
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1649 ?
Unique (%)	3.9%

Sample

1st row	Adhikari
2nd row	Yonjan
3rd row	Rimal
4th row	KHADKA
5th row	nepal

Common Values

Value	Count	Frequency (%)
Shrestha	1852	4.3%
Yadav	1304	3.0%
Adhikari	841	2.0%
Sah	833	1.9%
Chaudhary	721	1.7%
Thapa	708	1.7%
Poudel	550	1.3%
Bhattarai	500	1.2%
Karki	495	1.2%
Bhandari	471	1.1%
Other values (3277)	34482	80.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
shrestha	2358	5.5%
yadav	1858	4.3%
sah	1217	2.8%
adhikari	1084	2.5%
chaudhary	1022	2.4%
thapa	964	2.2%
poudel	704	1.6%
karki	648	1.5%
bhattarai	605	1.4%
bhandari	595	1.4%
Other values (1820)	32088	74.4%

Most occurring characters

Value	Count	Frequency (%)
a	50000	18.9%
h	23307	8.8%
r	14475	5.5%
i	14466	5.5%
A	11002	4.2%
e	9254	3.5%
t	8971	3.4%
d	8625	3.3%
l	8405	3.2%
n	8334	3.1%
Other values (47)	108089	40.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	190385	71.9%
Uppercase Letter	72963	27.5%
Space Separator	912	0.3%
Other Punctuation	655	0.2%
Open Punctuation	6	< 0.1%
Close Punctuation	6	< 0.1%
Dash Punctuation	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	11002	15.1%
S	7745	10.6%
K	5140	7.0%
R	4436	6.1%
P	4411	6.0%
B	4286	5.9%
H	4134	5.7%
T	3934	5.4%
D	3785	5.2%
M	3166	4.3%
Other values (16)	20924	28.7%

Lowercase Letter

Value	Count	Frequency (%)
a	50000	26.3%
h	23307	12.2%
r	14475	7.6%
i	14466	7.6%
e	9254	4.9%
t	8971	4.7%
d	8625	4.5%
l	8405	4.4%
n	8334	4.4%
u	7974	4.2%
Other values (16)	36574	19.2%

Other Punctuation

Value	Count	Frequency (%)
.	655	100.0%

Space Separator

Value	Count	Frequency (%)
	912	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	6	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	263348	99.4%
Common	1580	0.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	50000	19.0%
h	23307	8.9%
r	14475	5.5%
i	14466	5.5%
A	11002	4.2%
e	9254	3.5%
t	8971	3.4%
d	8625	3.3%
l	8405	3.2%
n	8334	3.2%
Other values (42)	106509	40.4%

Common

Value	Count	Frequency (%)
	912	57.7%
.	655	41.5%
(	6	0.4%
)	6	0.4%
-	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	264928	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	50000	18.9%
h	23307	8.8%
r	14475	5.5%
i	14466	5.5%
A	11002	4.2%
e	9254	3.5%
t	8971	3.4%
d	8625	3.3%
l	8405	3.2%
n	8334	3.1%
Other values (47)	108089	40.8%

MunicipalityVdc
Categorical

HIGH CARDINALITY

Distinct	10899
Distinct (%)	25.5%
Missing	41
Missing (%)	0.1%
Memory size	334.2 KiB

Kathmandu	850
Biratnagar	517
Pokhara	474
Bharatpur	449
Bhaktapur	418
Other values (10894)	40008

Length

Max length	43
Median length	9
Mean length	9.801432718
Min length	2

Characters and Unicode

Total characters	418678
Distinct characters	55
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6652 ?
Unique (%)	15.6%

Sample

1st row	Chitrawan
2nd row	Bishnupurkatti
3rd row	Bidur
4th row	Bhimeshwor
5th row	prangbung

Common Values

Value	Count	Frequency (%)
Kathmandu	850	2.0%
Biratnagar	517	1.2%
Pokhara	474	1.1%
Bharatpur	449	1.1%
Bhaktapur	418	1.0%
Lalitpur	358	0.8%
Dharan	275	0.6%
Itahari	258	0.6%
Hetauda	255	0.6%
Butwal	244	0.6%
Other values (10889)	38618	90.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kathmandu	1492	3.0%
municipality	1365	2.8%
pokhara	976	2.0%
biratnagar	686	1.4%
bharatpur	680	1.4%
lalitpur	659	1.3%
bhaktapur	587	1.2%
metropolitan	471	1.0%
city	416	0.8%
dharan	398	0.8%
Other values (5911)	41397	84.3%

Most occurring characters

Value	Count	Frequency (%)
a	78031	18.6%
i	30630	7.3%
h	28361	6.8%
r	27825	6.6%
n	22663	5.4%
u	20630	4.9%
t	18010	4.3%
l	12344	2.9%
d	11212	2.7%
p	10979	2.6%
Other values (45)	157993	37.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	335065	80.0%
Uppercase Letter	74798	17.9%
Space Separator	8013	1.9%
Other Punctuation	411	0.1%
Dash Punctuation	391	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	78031	23.3%
i	30630	9.1%
h	28361	8.5%
r	27825	8.3%
n	22663	6.8%
u	20630	6.2%
t	18010	5.4%
l	12344	3.7%
d	11212	3.3%
p	10979	3.3%
Other values (16)	74380	22.2%

Uppercase Letter

Value	Count	Frequency (%)
A	9022	12.1%
B	8308	11.1%
M	5606	7.5%
K	5161	6.9%
R	5048	6.7%
S	4244	5.7%
D	3961	5.3%
H	3955	5.3%
T	3926	5.2%
P	3759	5.0%
Other values (15)	21808	29.2%

Other Punctuation

Value	Count	Frequency (%)
.	410	99.8%
&	1	0.2%

Space Separator

Value	Count	Frequency (%)
	8013	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	391	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	409863	97.9%
Common	8815	2.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	78031	19.0%
i	30630	7.5%
h	28361	6.9%
r	27825	6.8%
n	22663	5.5%
u	20630	5.0%
t	18010	4.4%
l	12344	3.0%
d	11212	2.7%
p	10979	2.7%
Other values (41)	149178	36.4%

Common

Value	Count	Frequency (%)
	8013	90.9%
.	410	4.7%
-	391	4.4%
&	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	418678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	78031	18.6%
i	30630	7.3%
h	28361	6.8%
r	27825	6.6%
n	22663	5.4%
u	20630	4.9%
t	18010	4.3%
l	12344	2.9%
d	11212	2.7%
p	10979	2.6%
Other values (45)	157993	37.7%

WardNo
Real number (ℝ_≥0)

Distinct	36
Distinct (%)	0.1%
Missing	41
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	7.032376627

Minimum	0
Maximum	35
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	334.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	6
Q3	9
95-th percentile	18
Maximum	35
Range	35
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	5.654458003
Coefficient of variation (CV)	0.8040607469
Kurtosis	4.790221938
Mean	7.032376627
Median Absolute Deviation (MAD)	3
Skewness	1.908107436
Sum	300395
Variance	31.97289531
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
2	4147	9.7%
4	4133	9.7%
1	4064	9.5%
5	3979	9.3%
3	3888	9.1%
6	3774	8.8%
7	3558	8.3%
8	3234	7.6%
9	2978	7.0%
10	1429	3.3%
Other values (26)	7532	17.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	4064	9.5%
2	4147	9.7%
3	3888	9.1%
4	4133	9.7%
5	3979	9.3%
6	3774	8.8%
7	3558	8.3%
8	3234	7.6%
9	2978	7.0%

Value	Count	Frequency (%)
35	62	0.1%
34	56	0.1%
33	48	0.1%
32	128	0.3%
31	99	0.2%
30	55	0.1%
29	76	0.2%
28	73	0.2%
27	102	0.2%
26	148	0.3%

Gender
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	334.2 KiB

Male	35019
Female	7738

Length

Max length	6
Median length	4
Mean length	4.361952429
Min length	4

Characters and Unicode

Total characters	186504
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Male
3rd row	Male
4th row	Male
5th row	Male

Common Values

Value	Count	Frequency (%)
Male	35019	81.9%
Female	7738	18.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
male	35019	81.9%
female	7738	18.1%

Most occurring characters

Value	Count	Frequency (%)
e	50495	27.1%
a	42757	22.9%
l	42757	22.9%
M	35019	18.8%
F	7738	4.1%
m	7738	4.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	143747	77.1%
Uppercase Letter	42757	22.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	50495	35.1%
a	42757	29.7%
l	42757	29.7%
m	7738	5.4%

Uppercase Letter

Value	Count	Frequency (%)
M	35019	81.9%
F	7738	18.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	186504	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	50495	27.1%
a	42757	22.9%
l	42757	22.9%
M	35019	18.8%
F	7738	4.1%
m	7738	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	186504	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	50495	27.1%
a	42757	22.9%
l	42757	22.9%
M	35019	18.8%
F	7738	4.1%
m	7738	4.1%

BirthDateBS
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	334.2 KiB

BirthDateAD
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	334.2 KiB

SLCSchoolName
Categorical

HIGH CARDINALITY

Distinct	26224
Distinct (%)	61.3%
Missing	0
Missing (%)	0.0%
Memory size	334.2 KiB

Siddhartha Vanasthali Institute	131
Sainik Awasiya Mahavidyalaya	106
GEMS	99
Galaxy Public School	94
Little Angels' School	85
Other values (26219)	42242

Length

Max length	93
Median length	27
Mean length	27.34366303
Min length	3

Characters and Unicode

Total characters	1169133
Distinct characters	57
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20981 ?
Unique (%)	49.1%

Sample

1st row	Triyog Higher Secondary School
2nd row	Greenland English Boarding School
3rd row	Bagmati Boarding H.S. School
4th row	Sainik Awasiya Mahavidhyalaya
5th row	bud international public school

Common Values

Value	Count	Frequency (%)
Siddhartha Vanasthali Institute	131	0.3%
Sainik Awasiya Mahavidyalaya	106	0.2%
GEMS	99	0.2%
Galaxy Public School	94	0.2%
Little Angels' School	85	0.2%
Budhanilkantha School	78	0.2%
Occidental Public School	77	0.2%
Aishwarya Vidya Niketan	76	0.2%
Gandaki Boarding School	74	0.2%
Paragon Public School	72	0.2%
Other values (26214)	41865	97.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
school	26888	16.5%
secondary	13102	8.0%
english	7599	4.7%
boarding	6841	4.2%
shree	5992	3.7%
higher	4476	2.7%
academy	3503	2.1%
ma	3156	1.9%
vi	3135	1.9%
public	1842	1.1%
Other values (6853)	86725	53.1%

Most occurring characters

Value	Count	Frequency (%)
	123829	10.6%
a	101213	8.7%
o	83273	7.1%
h	64952	5.6%
S	60384	5.2%
i	58834	5.0%
e	57313	4.9%
n	57292	4.9%
r	53713	4.6%
l	50534	4.3%
Other values (47)	457796	39.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	781053	66.8%
Uppercase Letter	249113	21.3%
Space Separator	123829	10.6%
Other Punctuation	14887	1.3%
Dash Punctuation	251	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	60384	24.2%
A	22077	8.9%
H	18763	7.5%
E	16959	6.8%
B	13168	5.3%
M	12029	4.8%
N	11723	4.7%
I	10749	4.3%
O	10169	4.1%
R	9292	3.7%
Other values (16)	63800	25.6%

Lowercase Letter

Value	Count	Frequency (%)
a	101213	13.0%
o	83273	10.7%
h	64952	8.3%
i	58834	7.5%
e	57313	7.3%
n	57292	7.3%
r	53713	6.9%
l	50534	6.5%
c	46109	5.9%
d	39558	5.1%
Other values (16)	168262	21.5%

Other Punctuation

Value	Count	Frequency (%)
.	13726	92.2%
'	1153	7.7%
&	8	0.1%

Space Separator

Value	Count	Frequency (%)
	123829	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	251	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1030166	88.1%
Common	138967	11.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	101213	9.8%
o	83273	8.1%
h	64952	6.3%
S	60384	5.9%
i	58834	5.7%
e	57313	5.6%
n	57292	5.6%
r	53713	5.2%
l	50534	4.9%
c	46109	4.5%
Other values (42)	396549	38.5%

Common

Value	Count	Frequency (%)
	123829	89.1%
.	13726	9.9%
'	1153	0.8%
-	251	0.2%
&	8	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1169133	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	123829	10.6%
a	101213	8.7%
o	83273	7.1%
h	64952	5.6%
S	60384	5.2%
i	58834	5.0%
e	57313	4.9%
n	57292	4.9%
r	53713	4.6%
l	50534	4.3%
Other values (47)	457796	39.2%

SLCSymbolNo
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	334.2 KiB

SLCPassedYear
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	47
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2066.933602

Minimum	1999
Maximum	2077
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	334.2 KiB

Quantile statistics

Minimum	1999
5-th percentile	2017
Q1	2070
median	2071
Q3	2073
95-th percentile	2074
Maximum	2077
Range	78
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	15.51308865
Coefficient of variation (CV)	0.007505363811
Kurtosis	6.885560386
Mean	2066.933602
Median Absolute Deviation (MAD)	2
Skewness	-2.947056658
Sum	88375880
Variance	240.6559195
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
2070	9178	21.5%
2074	8994	21.0%
2071	8839	20.7%
2073	6453	15.1%
2069	2393	5.6%
2072	1620	3.8%
2018	947	2.2%
2017	883	2.1%
2068	735	1.7%
2015	528	1.2%
Other values (37)	2187	5.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1999	1	< 0.1%
2001	1	< 0.1%
2002	1	< 0.1%
2005	1	< 0.1%
2006	4	< 0.1%
2007	3	< 0.1%
2008	3	< 0.1%
2009	3	< 0.1%
2010	28	0.1%
2011	45	0.1%

Value	Count	Frequency (%)
2077	5	< 0.1%
2076	21	< 0.1%
2075	226	0.5%
2074	8994	21.0%
2073	6453	15.1%
2072	1620	3.8%
2071	8839	20.7%
2070	9178	21.5%
2069	2393	5.6%
2068	735	1.7%

SLCPassedYearCalendar
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	334.2 KiB

BS	39230
AD	3527

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	85514
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BS
2nd row	BS
3rd row	BS
4th row	BS
5th row	BS

Common Values

Value	Count	Frequency (%)
BS	39230	91.8%
AD	3527	8.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
bs	39230	91.8%
ad	3527	8.2%

Most occurring characters

Value	Count	Frequency (%)
B	39230	45.9%
S	39230	45.9%
A	3527	4.1%
D	3527	4.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	85514	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
B	39230	45.9%
S	39230	45.9%
A	3527	4.1%
D	3527	4.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	85514	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
B	39230	45.9%
S	39230	45.9%
A	3527	4.1%
D	3527	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	85514	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
B	39230	45.9%
S	39230	45.9%
A	3527	4.1%
D	3527	4.1%

SLCPercentage
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1247
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	44.08230044

Minimum	1.85
Maximum	97
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	334.2 KiB

Quantile statistics

Minimum	1.85
5-th percentile	3.15
Q1	3.6
median	63.63
Q3	79.63
95-th percentile	87.13
Maximum	97
Range	95.15
Interquartile range (IQR)	76.03

Descriptive statistics

Standard deviation	37.01112465
Coefficient of variation (CV)	0.8395914977
Kurtosis	-1.88335469
Mean	44.08230044
Median Absolute Deviation (MAD)	23.25
Skewness	-0.1252770712
Sum	1884826.92
Variance	1369.823348
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.65	1614	3.8%
3.6	1559	3.6%
3.7	1554	3.6%
3.75	1533	3.6%
3.55	1331	3.1%
3.8	1311	3.1%
3.5	1196	2.8%
3.45	1096	2.6%
3.4	930	2.2%
3.85	856	2.0%
Other values (1237)	29777	69.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.85	1	< 0.1%
2	1	< 0.1%
2.05	1	< 0.1%
2.1	1	< 0.1%
2.15	3	< 0.1%
2.19	1	< 0.1%
2.2	1	< 0.1%
2.23	1	< 0.1%
2.25	6	< 0.1%
2.3	6	< 0.1%

Value	Count	Frequency (%)
97	3	< 0.1%
96.25	1	< 0.1%
96	1	< 0.1%
95.2	1	< 0.1%
95	11	< 0.1%
94.13	1	< 0.1%
94	4	< 0.1%
93.5	1	< 0.1%
93.4	1	< 0.1%
93.13	1	< 0.1%

PCLSymbolNo
Unsupported

REJECTED
UNSUPPORTED

Missing	1
Missing (%)	< 0.1%
Memory size	334.2 KiB

PCLSchoolName
Categorical

HIGH CARDINALITY

Distinct	15347
Distinct (%)	35.9%
Missing	0
Missing (%)	0.0%
Memory size	334.2 KiB

Kathmandu Model Secondary School	418
St. Xavier's College	389
Trinity International College	381
United Academy	352
Prasadi Academy	305
Other values (15342)	40912

Length

Max length	77
Median length	26
Mean length	26.08382253
Min length	3

Characters and Unicode

Total characters	1115266
Distinct characters	57
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10701 ?
Unique (%)	25.0%

Sample

1st row	Liverpool International College
2nd row	The New Summit H.S School
3rd row	Kathmandu Model H.S. School
4th row	Sainik Awasiya Mahavidhyalaya H S School
5th row	COHED

Common Values

Value	Count	Frequency (%)
Kathmandu Model Secondary School	418	1.0%
St. Xavier's College	389	0.9%
Trinity International College	381	0.9%
United Academy	352	0.8%
Prasadi Academy	305	0.7%
Kathmandu Model College	299	0.7%
Nepal Mega College	235	0.5%
Capital Secondary School	225	0.5%
National School of Sciences	206	0.5%
Arniko Awasiya Secondary School	199	0.5%
Other values (15337)	39748	93.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
school	19782	13.3%
secondary	14424	9.7%
college	9480	6.4%
international	4998	3.4%
higher	4715	3.2%
academy	3196	2.2%
model	2595	1.7%
kathmandu	2300	1.6%
s	2235	1.5%
of	2227	1.5%
Other values (2993)	82383	55.5%

Most occurring characters

Value	Count	Frequency (%)
	108967	9.8%
a	87405	7.8%
o	83973	7.5%
e	77870	7.0%
n	62107	5.6%
l	61669	5.5%
S	52079	4.7%
i	47938	4.3%
c	45674	4.1%
r	44985	4.0%
Other values (47)	442599	39.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	749301	67.2%
Uppercase Letter	241591	21.7%
Space Separator	108967	9.8%
Other Punctuation	15336	1.4%
Dash Punctuation	71	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	52079	21.6%
A	20364	8.4%
C	17550	7.3%
H	17457	7.2%
I	13815	5.7%
E	13477	5.6%
N	13320	5.5%
O	12563	5.2%
L	10847	4.5%
M	9782	4.0%
Other values (16)	60337	25.0%

Lowercase Letter

Value	Count	Frequency (%)
a	87405	11.7%
o	83973	11.2%
e	77870	10.4%
n	62107	8.3%
l	61669	8.2%
i	47938	6.4%
c	45674	6.1%
r	44985	6.0%
h	42776	5.7%
t	35509	4.7%
Other values (16)	159395	21.3%

Other Punctuation

Value	Count	Frequency (%)
.	12949	84.4%
'	2313	15.1%
&	74	0.5%

Space Separator

Value	Count	Frequency (%)
	108967	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	71	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	990892	88.8%
Common	124374	11.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	87405	8.8%
o	83973	8.5%
e	77870	7.9%
n	62107	6.3%
l	61669	6.2%
S	52079	5.3%
i	47938	4.8%
c	45674	4.6%
r	44985	4.5%
h	42776	4.3%
Other values (42)	384416	38.8%

Common

Value	Count	Frequency (%)
	108967	87.6%
.	12949	10.4%
'	2313	1.9%
&	74	0.1%
-	71	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1115266	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	108967	9.8%
a	87405	7.8%
o	83973	7.5%
e	77870	7.0%
n	62107	5.6%
l	61669	5.5%
S	52079	4.7%
i	47938	4.3%
c	45674	4.1%
r	44985	4.0%
Other values (47)	442599	39.7%

PCLPercentage
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	1473
Distinct (%)	15.7%
Missing	33398
Missing (%)	78.1%
Infinite	0
Infinite (%)	0.0%
Mean	48.56978096

Minimum	0
Maximum	100
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	334.2 KiB

Quantile statistics

Minimum	0
5-th percentile	2.76
Q1	3.49
median	61.7
Q3	70.905
95-th percentile	80.4
Maximum	100
Range	100
Interquartile range (IQR)	67.415

Descriptive statistics

Standard deviation	29.99127834
Coefficient of variation (CV)	0.6174884413
Kurtosis	-1.204419297
Mean	48.56978096
Median Absolute Deviation (MAD)	11.2
Skewness	-0.7239369793
Sum	454564.58
Variance	899.4767763
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60	55	0.1%
65	50	0.1%
3.23	48	0.1%
3.19	47	0.1%
2.95	45	0.1%
70	45	0.1%
62	43	0.1%
3.16	42	0.1%
69	42	0.1%
3.03	41	0.1%
Other values (1463)	8901	20.8%
(Missing)	33398	78.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
2	1	< 0.1%
2.13	1	< 0.1%
2.19	1	< 0.1%
2.25	1	< 0.1%
2.28	2	< 0.1%
2.3	5	< 0.1%
2.31	1	< 0.1%
2.32	1	< 0.1%
2.34	1	< 0.1%

Value	Count	Frequency (%)
100	1	< 0.1%
95.6	1	< 0.1%
95	1	< 0.1%
94.4	2	< 0.1%
93.6	1	< 0.1%
93.33	1	< 0.1%
93	1	< 0.1%
92.8	2	< 0.1%
92.2	1	< 0.1%
92	1	< 0.1%

PCLPassedYear
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	45
Distinct (%)	0.5%
Missing	33287
Missing (%)	77.9%
Infinite	0
Infinite (%)	0.0%
Mean	2062.493559

Minimum	1997
Maximum	2077
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	334.2 KiB

Quantile statistics

Minimum	1997
5-th percentile	2015
Q1	2071
median	2072
Q3	2075
95-th percentile	2076
Maximum	2077
Range	80
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	22.31863245
Coefficient of variation (CV)	0.01082118893
Kurtosis	0.484529046
Mean	2062.493559
Median Absolute Deviation (MAD)	2
Skewness	-1.559377476
Sum	19531814
Variance	498.1213546
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
2072	2309	5.4%
2073	1913	4.5%
2076	1436	3.4%
2075	1027	2.4%
2071	433	1.0%
2016	410	1.0%
2019	397	0.9%
2015	333	0.8%
2018	246	0.6%
2074	219	0.5%
Other values (35)	747	1.7%
(Missing)	33287	77.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1997	1	< 0.1%
1998	1	< 0.1%
2002	1	< 0.1%
2003	2	< 0.1%
2004	2	< 0.1%
2005	1	< 0.1%
2006	1	< 0.1%
2007	3	< 0.1%
2008	5	< 0.1%
2009	5	< 0.1%

Value	Count	Frequency (%)
2077	27	0.1%
2076	1436	3.4%
2075	1027	2.4%
2074	219	0.5%
2073	1913	4.5%
2072	2309	5.4%
2071	433	1.0%
2070	152	0.4%
2069	59	0.1%
2068	34	0.1%

PCLPassedYearCalendar
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	334.2 KiB

BS	40952
AD	1805

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	85514
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BS
2nd row	BS
3rd row	BS
4th row	BS
5th row	BS

Common Values

Value	Count	Frequency (%)
BS	40952	95.8%
AD	1805	4.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
bs	40952	95.8%
ad	1805	4.2%

Most occurring characters

Value	Count	Frequency (%)
B	40952	47.9%
S	40952	47.9%
A	1805	2.1%
D	1805	2.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	85514	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
B	40952	47.9%
S	40952	47.9%
A	1805	2.1%
D	1805	2.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	85514	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
B	40952	47.9%
S	40952	47.9%
A	1805	2.1%
D	1805	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	85514	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
B	40952	47.9%
S	40952	47.9%
A	1805	2.1%
D	1805	2.1%

EthnicGroupID
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	28.6%
Missing	42750
Missing (%)	> 99.9%
Memory size	334.2 KiB

2.0	5
3.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	21
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	3.0
3rd row	3.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	5	< 0.1%
3.0	2	< 0.1%
(Missing)	42750	> 99.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	5	71.4%
3.0	2	28.6%

Most occurring characters

Value	Count	Frequency (%)
.	7	33.3%
0	7	33.3%
2	5	23.8%
3	2	9.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	14	66.7%
Other Punctuation	7	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	7	50.0%
2	5	35.7%
3	2	14.3%

Other Punctuation

Value	Count	Frequency (%)
.	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	21	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	7	33.3%
0	7	33.3%
2	5	23.8%
3	2	9.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	7	33.3%
0	7	33.3%
2	5	23.8%
3	2	9.5%

FatherFirstName
Categorical

HIGH CARDINALITY

Distinct	9331
Distinct (%)	21.8%
Missing	0
Missing (%)	0.0%
Memory size	334.2 KiB

Ram	1148
Krishna	605
Hari	376
Bishnu	350
Narayan	302
Other values (9326)	39976

Length

Max length	22
Median length	6
Mean length	5.945997147
Min length	1

Characters and Unicode

Total characters	254233
Distinct characters	54
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5942 ?
Unique (%)	13.9%

Sample

1st row	Pitri
2nd row	Bhailal
3rd row	Krishna
4th row	Shiva
5th row	devi

Common Values

Value	Count	Frequency (%)
Ram	1148	2.7%
Krishna	605	1.4%
Hari	376	0.9%
Bishnu	350	0.8%
Narayan	302	0.7%
Rajendra	280	0.7%
Ram	266	0.6%
RAM	253	0.6%
Prem	242	0.6%
Ramesh	232	0.5%
Other values (9321)	38703	90.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ram	1923	4.4%
krishna	1035	2.4%
hari	631	1.5%
bishnu	571	1.3%
narayan	512	1.2%
rajendra	413	1.0%
prem	383	0.9%
shyam	379	0.9%
ramesh	355	0.8%
ganesh	349	0.8%
Other values (5493)	36695	84.9%

Most occurring characters

Value	Count	Frequency (%)
a	41747	16.4%
r	16004	6.3%
h	15811	6.2%
n	14525	5.7%
i	12581	4.9%
A	9275	3.6%
m	8770	3.4%
e	8730	3.4%
R	8418	3.3%
d	7749	3.0%
Other values (44)	110623	43.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	173672	68.3%
Uppercase Letter	72826	28.6%
Space Separator	7676	3.0%
Other Punctuation	56	< 0.1%
Dash Punctuation	3	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	41747	24.0%
r	16004	9.2%
h	15811	9.1%
n	14525	8.4%
i	12581	7.2%
m	8770	5.0%
e	8730	5.0%
d	7749	4.5%
s	7305	4.2%
u	7154	4.1%
Other values (16)	33296	19.2%

Uppercase Letter

Value	Count	Frequency (%)
A	9275	12.7%
R	8418	11.6%
S	6030	8.3%
B	5433	7.5%
D	4737	6.5%
N	4651	6.4%
H	4322	5.9%
K	4093	5.6%
M	4092	5.6%
I	2823	3.9%
Other values (15)	18952	26.0%

Space Separator

Value	Count	Frequency (%)
	7676	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	56	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	246498	97.0%
Common	7735	3.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	41747	16.9%
r	16004	6.5%
h	15811	6.4%
n	14525	5.9%
i	12581	5.1%
A	9275	3.8%
m	8770	3.6%
e	8730	3.5%
R	8418	3.4%
d	7749	3.1%
Other values (41)	102888	41.7%

Common

Value	Count	Frequency (%)
	7676	99.2%
.	56	0.7%
-	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	254233	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	41747	16.4%
r	16004	6.3%
h	15811	6.2%
n	14525	5.7%
i	12581	4.9%
A	9275	3.6%
m	8770	3.4%
e	8730	3.4%
R	8418	3.3%
d	7749	3.0%
Other values (44)	110623	43.5%

FatherMiddleName
Categorical

HIGH CARDINALITY
MISSING

Distinct	1477
Distinct (%)	5.1%
Missing	13539
Missing (%)	31.7%
Memory size	334.2 KiB

Prasad	4495
Bahadur	4208
Kumar	2793
Raj	1448
BAHADUR	991
Other values (1472)	15283

Length

Max length	20
Median length	6
Mean length	5.597200356
Min length	1

Characters and Unicode

Total characters	163539
Distinct characters	53
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	932 ?
Unique (%)	3.2%

Sample

1st row	Bhakta
2nd row	Prasad
3rd row	Bahadur
4th row	prasad
5th row	Kumar

Common Values

Value	Count	Frequency (%)
Prasad	4495	10.5%
Bahadur	4208	9.8%
Kumar	2793	6.5%
Raj	1448	3.4%
BAHADUR	991	2.3%
PRASAD	878	2.1%
Narayan	646	1.5%
Lal	638	1.5%
KUMAR	627	1.5%
Ram	617	1.4%
Other values (1467)	11877	27.8%
(Missing)	13539	31.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
prasad	6405	21.8%
bahadur	6172	21.0%
kumar	4213	14.3%
raj	1927	6.6%
lal	1004	3.4%
narayan	914	3.1%
ram	862	2.9%
nath	610	2.1%
singh	497	1.7%
krishna	451	1.5%
Other values (844)	6364	21.6%

Most occurring characters

Value	Count	Frequency (%)
a	37761	23.1%
r	17758	10.9%
d	11987	7.3%
u	9508	5.8%
h	8934	5.5%
A	7121	4.4%
s	6901	4.2%
B	6573	4.0%
P	6496	4.0%
R	6223	3.8%
Other values (43)	44277	27.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	113334	69.3%
Uppercase Letter	47768	29.2%
Space Separator	2323	1.4%
Other Punctuation	113	0.1%
Dash Punctuation	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	7121	14.9%
B	6573	13.8%
P	6496	13.6%
R	6223	13.0%
K	4853	10.2%
D	2973	6.2%
S	2443	5.1%
N	2188	4.6%
H	1948	4.1%
U	1888	4.0%
Other values (15)	5062	10.6%

Lowercase Letter

Value	Count	Frequency (%)
a	37761	33.3%
r	17758	15.7%
d	11987	10.6%
u	9508	8.4%
h	8934	7.9%
s	6901	6.1%
m	4662	4.1%
n	3502	3.1%
j	1896	1.7%
i	1895	1.7%
Other values (15)	8530	7.5%

Space Separator

Value	Count	Frequency (%)
	2323	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	113	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	161102	98.5%
Common	2437	1.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	37761	23.4%
r	17758	11.0%
d	11987	7.4%
u	9508	5.9%
h	8934	5.5%
A	7121	4.4%
s	6901	4.3%
B	6573	4.1%
P	6496	4.0%
R	6223	3.9%
Other values (40)	41840	26.0%

Common

Value	Count	Frequency (%)
	2323	95.3%
.	113	4.6%
-	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	163539	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	37761	23.1%
r	17758	10.9%
d	11987	7.3%
u	9508	5.8%
h	8934	5.5%
A	7121	4.4%
s	6901	4.2%
B	6573	4.0%
P	6496	4.0%
R	6223	3.8%
Other values (43)	44277	27.1%

FatherLastName
Categorical

HIGH CARDINALITY

Distinct	3633
Distinct (%)	8.5%
Missing	0
Missing (%)	0.0%
Memory size	334.2 KiB

Shrestha	1779
Yadav	1229
Sah	799
Adhikari	792
Thapa	702
Other values (3628)	37456

Length

Max length	24
Median length	6
Mean length	6.230184531
Min length	1

Characters and Unicode

Total characters	266384
Distinct characters	56
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1927 ?
Unique (%)	4.5%

Sample

1st row	Adhikari
2nd row	Yonjan
3rd row	Rimal
4th row	Khadka
5th row	nepal

Common Values

Value	Count	Frequency (%)
Shrestha	1779	4.2%
Yadav	1229	2.9%
Sah	799	1.9%
Adhikari	792	1.9%
Thapa	702	1.6%
Chaudhary	698	1.6%
Sharma	522	1.2%
Karki	489	1.1%
Poudel	463	1.1%
Bhattarai	463	1.1%
Other values (3623)	34821	81.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
shrestha	2336	5.4%
yadav	1728	4.0%
sah	1255	2.9%
adhikari	1013	2.3%
thapa	1009	2.3%
chaudhary	1001	2.3%
sharma	706	1.6%
karki	646	1.5%
poudel	621	1.4%
bhattarai	588	1.4%
Other values (1893)	32538	74.9%

Most occurring characters

Value	Count	Frequency (%)
a	49975	18.8%
h	23336	8.8%
r	14697	5.5%
i	14591	5.5%
A	11392	4.3%
t	9051	3.4%
e	9026	3.4%
d	8572	3.2%
l	8184	3.1%
n	8087	3.0%
Other values (46)	109473	41.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	190028	71.3%
Uppercase Letter	74551	28.0%
Space Separator	1299	0.5%
Other Punctuation	503	0.2%
Dash Punctuation	3	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	11392	15.3%
S	7570	10.2%
K	5250	7.0%
R	4701	6.3%
H	4403	5.9%
T	4310	5.8%
B	4307	5.8%
P	4291	5.8%
D	3796	5.1%
M	3281	4.4%
Other values (16)	21250	28.5%

Lowercase Letter

Value	Count	Frequency (%)
a	49975	26.3%
h	23336	12.3%
r	14697	7.7%
i	14591	7.7%
t	9051	4.8%
e	9026	4.7%
d	8572	4.5%
l	8184	4.3%
n	8087	4.3%
u	7848	4.1%
Other values (16)	36661	19.3%

Other Punctuation

Value	Count	Frequency (%)
.	501	99.6%
'	2	0.4%

Space Separator

Value	Count	Frequency (%)
	1299	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	264579	99.3%
Common	1805	0.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	49975	18.9%
h	23336	8.8%
r	14697	5.6%
i	14591	5.5%
A	11392	4.3%
t	9051	3.4%
e	9026	3.4%
d	8572	3.2%
l	8184	3.1%
n	8087	3.1%
Other values (42)	107668	40.7%

Common

Value	Count	Frequency (%)
	1299	72.0%
.	501	27.8%
-	3	0.2%
'	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	266384	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	49975	18.8%
h	23336	8.8%
r	14697	5.5%
i	14591	5.5%
A	11392	4.3%
t	9051	3.4%
e	9026	3.4%
d	8572	3.2%
l	8184	3.1%
n	8087	3.0%
Other values (46)	109473	41.1%

MotherFirstName
Categorical

HIGH CARDINALITY

Distinct	8196
Distinct (%)	19.2%
Missing	1
Missing (%)	< 0.1%
Memory size	334.2 KiB

Laxmi	797
Sita	741
Kamala	572
Gita	520
Mina	396
Other values (8191)	39730

Length

Max length	19
Median length	6
Mean length	5.833684161
Min length	1

Characters and Unicode

Total characters	249425
Distinct characters	53
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5318 ?
Unique (%)	12.4%

Sample

1st row	Subhadra
2nd row	Lalita
3rd row	Sita
4th row	Sirjana
5th row	menuka

Common Values

Value	Count	Frequency (%)
Laxmi	797	1.9%
Sita	741	1.7%
Kamala	572	1.3%
Gita	520	1.2%
Mina	396	0.9%
Nirmala	373	0.9%
Sunita	373	0.9%
Manju	357	0.8%
Rita	316	0.7%
Anita	316	0.7%
Other values (8186)	37995	88.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
laxmi	1111	2.6%
sita	1085	2.5%
kamala	763	1.8%
gita	760	1.8%
sunita	556	1.3%
mina	554	1.3%
nirmala	526	1.2%
rita	477	1.1%
manju	477	1.1%
anita	453	1.1%
Other values (5341)	36149	84.2%

Most occurring characters

Value	Count	Frequency (%)
a	51747	20.7%
i	21977	8.8%
n	13278	5.3%
A	11566	4.6%
r	10370	4.2%
t	10018	4.0%
h	9703	3.9%
S	9557	3.8%
m	8920	3.6%
u	8391	3.4%
Other values (43)	93898	37.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	173375	69.5%
Uppercase Letter	72376	29.0%
Space Separator	3648	1.5%
Other Punctuation	20	< 0.1%
Dash Punctuation	6	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	11566	16.0%
S	9557	13.2%
R	5586	7.7%
I	4957	6.8%
M	4893	6.8%
N	3989	5.5%
B	3945	5.5%
K	3637	5.0%
L	3084	4.3%
T	3031	4.2%
Other values (15)	18131	25.1%

Lowercase Letter

Value	Count	Frequency (%)
a	51747	29.8%
i	21977	12.7%
n	13278	7.7%
r	10370	6.0%
t	10018	5.8%
h	9703	5.6%
m	8920	5.1%
u	8391	4.8%
l	6861	4.0%
s	4875	2.8%
Other values (15)	27235	15.7%

Space Separator

Value	Count	Frequency (%)
	3648	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	20	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	245751	98.5%
Common	3674	1.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	51747	21.1%
i	21977	8.9%
n	13278	5.4%
A	11566	4.7%
r	10370	4.2%
t	10018	4.1%
h	9703	3.9%
S	9557	3.9%
m	8920	3.6%
u	8391	3.4%
Other values (40)	90224	36.7%

Common

Value	Count	Frequency (%)
	3648	99.3%
.	20	0.5%
-	6	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	249425	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	51747	20.7%
i	21977	8.8%
n	13278	5.3%
A	11566	4.6%
r	10370	4.2%
t	10018	4.0%
h	9703	3.9%
S	9557	3.8%
m	8920	3.6%
u	8391	3.4%
Other values (43)	93898	37.6%

MotherMiddleName
Categorical

HIGH CARDINALITY
MISSING

Distinct	993
Distinct (%)	6.0%
Missing	26118
Missing (%)	61.1%
Memory size	334.2 KiB

Devi	4823
Kumari	3473
DEVI	1159
Maya	1151
KUMARI	751
Other values (988)	5282

Length

Max length	17
Median length	4
Mean length	4.949095499
Min length	1

Characters and Unicode

Total characters	82348
Distinct characters	52
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	650 ?
Unique (%)	3.9%

Sample

1st row	Kumari
2nd row	Adhikari
3rd row	Kumari
4th row	Devi
5th row	Maya

Common Values

Value	Count	Frequency (%)
Devi	4823	11.3%
Kumari	3473	8.1%
DEVI	1159	2.7%
Maya	1151	2.7%
KUMARI	751	1.8%
devi	657	1.5%
kumari	476	1.1%
Devi	357	0.8%
Kumari	280	0.7%
MAYA	269	0.6%
Other values (983)	3243	7.6%
(Missing)	26118	61.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
devi	7177	42.8%
kumari	5116	30.5%
maya	1676	10.0%
laxmi	351	2.1%
kala	273	1.6%
sharma	114	0.7%
thapa	104	0.6%
maiya	65	0.4%
keshari	60	0.4%
singh	42	0.3%
Other values (601)	1809	10.8%

Most occurring characters

Value	Count	Frequency (%)
i	11540	14.0%
a	10265	12.5%
D	6620	8.0%
e	6392	7.8%
v	6035	7.3%
K	5125	6.2%
m	5102	6.2%
r	5032	6.1%
u	4641	5.6%
M	2519	3.1%
Other values (42)	19077	23.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	55976	68.0%
Uppercase Letter	25137	30.5%
Space Separator	1216	1.5%
Other Punctuation	12	< 0.1%
Dash Punctuation	7	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
D	6620	26.3%
K	5125	20.4%
M	2519	10.0%
I	2193	8.7%
A	1907	7.6%
E	1273	5.1%
V	1220	4.9%
R	1012	4.0%
U	872	3.5%
L	482	1.9%
Other values (15)	1914	7.6%

Lowercase Letter

Value	Count	Frequency (%)
i	11540	20.6%
a	10265	18.3%
e	6392	11.4%
v	6035	10.8%
m	5102	9.1%
r	5032	9.0%
u	4641	8.3%
y	1621	2.9%
h	970	1.7%
d	958	1.7%
Other values (14)	3420	6.1%

Space Separator

Value	Count	Frequency (%)
	1216	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	12	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	81113	98.5%
Common	1235	1.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	11540	14.2%
a	10265	12.7%
D	6620	8.2%
e	6392	7.9%
v	6035	7.4%
K	5125	6.3%
m	5102	6.3%
r	5032	6.2%
u	4641	5.7%
M	2519	3.1%
Other values (39)	17842	22.0%

Common

Value	Count	Frequency (%)
	1216	98.5%
.	12	1.0%
-	7	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	82348	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	11540	14.0%
a	10265	12.5%
D	6620	8.0%
e	6392	7.8%
v	6035	7.3%
K	5125	6.2%
m	5102	6.2%
r	5032	6.1%
u	4641	5.6%
M	2519	3.1%
Other values (42)	19077	23.2%

MotherLastName
Categorical

HIGH CARDINALITY

Distinct	3801
Distinct (%)	8.9%
Missing	0
Missing (%)	0.0%
Memory size	334.2 KiB

Shrestha	1786
Devi	1172
Yadav	1082
Adhikari	735
Thapa	711
Other values (3796)	37271

Length

Max length	24
Median length	6
Mean length	6.233084641
Min length	1

Characters and Unicode

Total characters	266508
Distinct characters	55
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2160 ?
Unique (%)	5.1%

Sample

1st row	Wagle
2nd row	Lama
3rd row	Rimal
4th row	Khadka
5th row	nepal

Common Values

Value	Count	Frequency (%)
Shrestha	1786	4.2%
Devi	1172	2.7%
Yadav	1082	2.5%
Adhikari	735	1.7%
Thapa	711	1.7%
Sah	670	1.6%
Chaudhary	640	1.5%
Sharma	636	1.5%
Karki	478	1.1%
Poudel	445	1.0%
Other values (3791)	34402	80.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
shrestha	2366	5.4%
devi	1711	3.9%
yadav	1510	3.5%
thapa	1031	2.4%
sah	1019	2.3%
adhikari	1002	2.3%
chaudhary	912	2.1%
sharma	891	2.0%
karki	660	1.5%
poudel	642	1.5%
Other values (1836)	31869	73.1%

Most occurring characters

Value	Count	Frequency (%)
a	48527	18.2%
h	22850	8.6%
i	15709	5.9%
r	14445	5.4%
A	10785	4.0%
e	10205	3.8%
t	9001	3.4%
n	8243	3.1%
d	8216	3.1%
l	7971	3.0%
Other values (45)	110556	41.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	189983	71.3%
Uppercase Letter	74491	28.0%
Space Separator	1510	0.6%
Other Punctuation	518	0.2%
Dash Punctuation	6	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	10785	14.5%
S	7400	9.9%
K	5554	7.5%
D	5181	7.0%
R	4419	5.9%
B	4336	5.8%
H	4200	5.6%
T	4102	5.5%
P	4063	5.5%
M	2955	4.0%
Other values (16)	21496	28.9%

Lowercase Letter

Value	Count	Frequency (%)
a	48527	25.5%
h	22850	12.0%
i	15709	8.3%
r	14445	7.6%
e	10205	5.4%
t	9001	4.7%
n	8243	4.3%
d	8216	4.3%
l	7971	4.2%
u	7723	4.1%
Other values (16)	37093	19.5%

Other Punctuation

Value	Count	Frequency (%)
.	518	100.0%

Space Separator

Value	Count	Frequency (%)
	1510	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	264474	99.2%
Common	2034	0.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	48527	18.3%
h	22850	8.6%
i	15709	5.9%
r	14445	5.5%
A	10785	4.1%
e	10205	3.9%
t	9001	3.4%
n	8243	3.1%
d	8216	3.1%
l	7971	3.0%
Other values (42)	108522	41.0%

Common

Value	Count	Frequency (%)
	1510	74.2%
.	518	25.5%
-	6	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	266508	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	48527	18.2%
h	22850	8.6%
i	15709	5.9%
r	14445	5.4%
A	10785	4.0%
e	10205	3.8%
t	9001	3.4%
n	8243	3.1%
d	8216	3.1%
l	7971	3.0%
Other values (45)	110556	41.5%

DistrictCode
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	75
Distinct (%)	0.2%
Missing	41
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	30.62547991

Minimum	1
Maximum	75
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	334.2 KiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	17
median	27
Q3	40
95-th percentile	69
Maximum	75
Range	74
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	18.05690955
Coefficient of variation (CV)	0.5896041335
Kurtosis	-0.3153163698
Mean	30.62547991
Median Absolute Deviation (MAD)	12
Skewness	0.5513355303
Sum	1308198
Variance	326.0519824
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
27	3439	8.0%
15	1969	4.6%
5	1842	4.3%
17	1786	4.2%
40	1565	3.7%
6	1539	3.6%
26	1482	3.5%
35	1349	3.2%
25	1348	3.2%
4	1340	3.1%
Other values (65)	25057	58.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	103	0.2%
2	139	0.3%
3	244	0.6%
4	1340	3.1%
5	1842	4.3%
6	1539	3.6%
7	136	0.3%
8	104	0.2%
9	149	0.3%
10	137	0.3%

Value	Count	Frequency (%)
75	190	0.4%
74	236	0.6%
73	182	0.4%
72	697	1.6%
71	652	1.5%
70	115	0.3%
69	234	0.5%
68	187	0.4%
67	98	0.2%
66	62	0.1%

DistrictName
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	75
Distinct (%)	0.2%
Missing	41
Missing (%)	0.1%
Memory size	334.2 KiB

Kathmandu	3439
Saptari	1969
Morang	1842
Dhanusha	1786
Kaski	1565
Other values (70)	32115

Length

Max length	14
Median length	7
Mean length	7.548295721
Min length	4

Characters and Unicode

Total characters	322433
Distinct characters	40
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Chitawan
2nd row	Siraha
3rd row	Nuwakot
4th row	Dolakha
5th row	Panchthar

Common Values

Value	Count	Frequency (%)
Kathmandu	3439	8.0%
Saptari	1969	4.6%
Morang	1842	4.3%
Dhanusha	1786	4.2%
Kaski	1565	3.7%
Sunsari	1539	3.6%
Bhaktapur	1482	3.5%
Chitawan	1349	3.2%
Lalitpur	1348	3.2%
Jhapa	1340	3.1%
Other values (65)	25057	58.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kathmandu	3439	8.1%
saptari	1969	4.6%
morang	1842	4.3%
dhanusha	1786	4.2%
kaski	1565	3.7%
sunsari	1539	3.6%
bhaktapur	1482	3.5%
chitawan	1349	3.2%
lalitpur	1348	3.2%
jhapa	1340	3.1%
Other values (65)	25057	58.7%

Most occurring characters

Value	Count	Frequency (%)
a	72086	22.4%
h	27742	8.6%
n	21670	6.7%
u	19729	6.1%
r	19531	6.1%
i	19169	5.9%
t	16802	5.2%
p	12773	4.0%
l	10387	3.2%
k	8877	2.8%
Other values (30)	93667	29.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	279717	86.8%
Uppercase Letter	42716	13.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	72086	25.8%
h	27742	9.9%
n	21670	7.7%
u	19729	7.1%
r	19531	7.0%
i	19169	6.9%
t	16802	6.0%
p	12773	4.6%
l	10387	3.7%
k	8877	3.2%
Other values (12)	50951	18.2%

Uppercase Letter

Value	Count	Frequency (%)
S	8209	19.2%
K	7935	18.6%
D	4395	10.3%
M	3911	9.2%
B	3901	9.1%
R	2638	6.2%
P	1880	4.4%
L	1752	4.1%
J	1529	3.6%
N	1409	3.3%
Other values (8)	5157	12.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	322433	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	72086	22.4%
h	27742	8.6%
n	21670	6.7%
u	19729	6.1%
r	19531	6.1%
i	19169	5.9%
t	16802	5.2%
p	12773	4.0%
l	10387	3.2%
k	8877	2.8%
Other values (30)	93667	29.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	322433	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	72086	22.4%
h	27742	8.6%
n	21670	6.7%
u	19729	6.1%
r	19531	6.1%
i	19169	5.9%
t	16802	5.2%
p	12773	4.0%
l	10387	3.2%
k	8877	2.8%
Other values (30)	93667	29.1%

NationalityName
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	334.2 KiB

Nepali	42716
SAARC	39
Others	2

Length

Max length	6
Median length	6
Mean length	5.999087869
Min length	5

Characters and Unicode

Total characters	256503
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Nepali
2nd row	Nepali
3rd row	Nepali
4th row	Nepali
5th row	Nepali

Common Values

Value	Count	Frequency (%)
Nepali	42716	99.9%
SAARC	39	0.1%
Others	2	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
nepali	42716	99.9%
saarc	39	0.1%
others	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	42718	16.7%
N	42716	16.7%
p	42716	16.7%
a	42716	16.7%
l	42716	16.7%
i	42716	16.7%
A	78	< 0.1%
S	39	< 0.1%
R	39	< 0.1%
C	39	< 0.1%
Other values (5)	10	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	213590	83.3%
Uppercase Letter	42913	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	42718	20.0%
p	42716	20.0%
a	42716	20.0%
l	42716	20.0%
i	42716	20.0%
t	2	< 0.1%
h	2	< 0.1%
r	2	< 0.1%
s	2	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
N	42716	99.5%
A	78	0.2%
S	39	0.1%
R	39	0.1%
C	39	0.1%
O	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	256503	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	42718	16.7%
N	42716	16.7%
p	42716	16.7%
a	42716	16.7%
l	42716	16.7%
i	42716	16.7%
A	78	< 0.1%
S	39	< 0.1%
R	39	< 0.1%
C	39	< 0.1%
Other values (5)	10	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	256503	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	42718	16.7%
N	42716	16.7%
p	42716	16.7%
a	42716	16.7%
l	42716	16.7%
i	42716	16.7%
A	78	< 0.1%
S	39	< 0.1%
R	39	< 0.1%
C	39	< 0.1%
Other values (5)	10	< 0.1%

IdentificationTypeName
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	334.2 KiB

Citizenship	34699
Last Exam Admit Card	7412
Driving License	365
Passport	261
Voter's Card	20

Length

Max length	20
Median length	11
Mean length	12.57646701
Min length	8

Characters and Unicode

Total characters	537732
Distinct characters	26
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Citizenship
2nd row	Citizenship
3rd row	Citizenship
4th row	Citizenship
5th row	Citizenship

Common Values

Value	Count	Frequency (%)
Citizenship	34699	81.2%
Last Exam Admit Card	7412	17.3%
Driving License	365	0.9%
Passport	261	0.6%
Voter's Card	20	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
citizenship	34699	53.1%
card	7432	11.4%
admit	7412	11.3%
exam	7412	11.3%
last	7412	11.3%
driving	365	0.6%
license	365	0.6%
passport	261	0.4%
voter's	20	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
i	112604	20.9%
t	49804	9.3%
s	43018	8.0%
C	42131	7.8%
e	35449	6.6%
n	35429	6.6%
p	34960	6.5%
z	34699	6.5%
h	34699	6.5%
	22621	4.2%
Other values (16)	92318	17.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	449713	83.6%
Uppercase Letter	65378	12.2%
Space Separator	22621	4.2%
Other Punctuation	20	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	112604	25.0%
t	49804	11.1%
s	43018	9.6%
e	35449	7.9%
n	35429	7.9%
p	34960	7.8%
z	34699	7.7%
h	34699	7.7%
a	22517	5.0%
d	14844	3.3%
Other values (7)	31690	7.0%

Uppercase Letter

Value	Count	Frequency (%)
C	42131	64.4%
L	7777	11.9%
E	7412	11.3%
A	7412	11.3%
D	365	0.6%
P	261	0.4%
V	20	< 0.1%

Space Separator

Value	Count	Frequency (%)
	22621	100.0%

Other Punctuation

Value	Count	Frequency (%)
'	20	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	515091	95.8%
Common	22641	4.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	112604	21.9%
t	49804	9.7%
s	43018	8.4%
C	42131	8.2%
e	35449	6.9%
n	35429	6.9%
p	34960	6.8%
z	34699	6.7%
h	34699	6.7%
a	22517	4.4%
Other values (14)	69781	13.5%

Common

Value	Count	Frequency (%)
	22621	99.9%
'	20	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	537732	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	112604	20.9%
t	49804	9.3%
s	43018	8.0%
C	42131	7.8%
e	35449	6.6%
n	35429	6.6%
p	34960	6.5%
z	34699	6.5%
h	34699	6.5%
	22621	4.2%
Other values (16)	92318	17.2%

FullName
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	36272
Distinct (%)	84.8%
Missing	0
Missing (%)	0.0%
Memory size	334.2 KiB

Sujan Shrestha	17
Bibek Shrestha	16
Santosh Kumar Yadav	14
Rahul Kumar Yadav	14
Sagar Adhikari	13
Other values (36267)	42683

Length

Max length	50
Median length	14
Mean length	14.55911313
Min length	5

Characters and Unicode

Total characters	622504
Distinct characters	57
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	32233 ?
Unique (%)	75.4%

Sample

1st row	Aashutosh Adhikari
2nd row	Bikal Yonjan
3rd row	Shramik Rimal
4th row	SHISHIR KHADKA
5th row	durga raj nepal

Common Values

Value	Count	Frequency (%)
Sujan Shrestha	17	< 0.1%
Bibek Shrestha	16	< 0.1%
Santosh Kumar Yadav	14	< 0.1%
Rahul Kumar Yadav	14	< 0.1%
Sagar Adhikari	13	< 0.1%
Aayush Shrestha	13	< 0.1%
Anish Shrestha	13	< 0.1%
Aashish Shrestha	12	< 0.1%
Sabin Shrestha	12	< 0.1%
Ajay Kumar Yadav	12	< 0.1%
Other values (36262)	42621	99.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kumar	4053	4.3%
shrestha	2361	2.5%
yadav	1866	2.0%
sah	1240	1.3%
adhikari	1091	1.1%
thapa	1091	1.1%
chaudhary	1037	1.1%
raj	906	1.0%
poudel	708	0.7%
singh	676	0.7%
Other values (8789)	80079	84.2%

Most occurring characters

Value	Count	Frequency (%)
a	99145	15.9%
	56400	9.1%
h	43715	7.0%
i	35894	5.8%
r	32140	5.2%
n	25799	4.1%
A	23014	3.7%
s	21113	3.4%
u	20938	3.4%
S	20654	3.3%
Other values (47)	243692	39.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	416893	67.0%
Uppercase Letter	148487	23.9%
Space Separator	56400	9.1%
Other Punctuation	704	0.1%
Dash Punctuation	8	< 0.1%
Open Punctuation	6	< 0.1%
Close Punctuation	6	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	23014	15.5%
S	20654	13.9%
K	11804	7.9%
R	11623	7.8%
B	9293	6.3%
P	9196	6.2%
N	7046	4.7%
M	6791	4.6%
H	6672	4.5%
D	6532	4.4%
Other values (16)	35862	24.2%

Lowercase Letter

Value	Count	Frequency (%)
a	99145	23.8%
h	43715	10.5%
i	35894	8.6%
r	32140	7.7%
n	25799	6.2%
s	21113	5.1%
u	20938	5.0%
e	18379	4.4%
t	15787	3.8%
d	14569	3.5%
Other values (16)	89414	21.4%

Space Separator

Value	Count	Frequency (%)
	56400	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	704	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	6	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	565380	90.8%
Common	57124	9.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	99145	17.5%
h	43715	7.7%
i	35894	6.3%
r	32140	5.7%
n	25799	4.6%
A	23014	4.1%
s	21113	3.7%
u	20938	3.7%
S	20654	3.7%
e	18379	3.3%
Other values (42)	224589	39.7%

Common

Value	Count	Frequency (%)
	56400	98.7%
.	704	1.2%
-	8	< 0.1%
(	6	< 0.1%
)	6	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	622504	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	99145	15.9%
	56400	9.1%
h	43715	7.0%
i	35894	5.8%
r	32140	5.2%
n	25799	4.1%
A	23014	3.7%
s	21113	3.4%
u	20938	3.4%
S	20654	3.3%
Other values (47)	243692	39.1%

EntranceScore
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	1103
Distinct (%)	5.5%
Missing	22859
Missing (%)	53.5%
Infinite	0
Infinite (%)	0.0%
Mean	61.43524435

Minimum	35
Maximum	131.2
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	334.2 KiB

Quantile statistics

Minimum	35
5-th percentile	38.714
Q1	49.8
median	57.714
Q3	70.7
95-th percentile	94.9
Maximum	131.2
Range	96.2
Interquartile range (IQR)	20.9

Descriptive statistics

Standard deviation	16.81597003
Coefficient of variation (CV)	0.2737186155
Kurtosis	0.7600932611
Mean	61.43524435
Median Absolute Deviation (MAD)	9.571
Skewness	0.9499870685
Sum	1222438.492
Variance	282.776848
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
48.7	413	1.0%
49.8	403	0.9%
50.9	396	0.9%
54.2	377	0.9%
53.1	374	0.9%
52	373	0.9%
55.3	348	0.8%
58.6	323	0.8%
59.7	321	0.8%
56.4	315	0.7%
Other values (1093)	16255	38.0%
(Missing)	22859	53.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
35	9	< 0.1%
35.071	6	< 0.1%
35.143	2	< 0.1%
35.214	9	< 0.1%
35.286	3	< 0.1%
35.357	3	< 0.1%
35.429	3	< 0.1%
35.5	1	< 0.1%
35.571	178	0.4%
35.643	8	< 0.1%

Value	Count	Frequency (%)
131.2	3	< 0.1%
129	2	< 0.1%
127.9	1	< 0.1%
126.8	4	< 0.1%
125.7	5	< 0.1%
124.6	2	< 0.1%
123.5	14	< 0.1%
122.7	2	< 0.1%
122.6	1	< 0.1%
122.4	6	< 0.1%

EntranceRank
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	6999
Distinct (%)	35.2%
Missing	22859
Missing (%)	53.5%
Infinite	0
Infinite (%)	0.0%
Mean	3325.762589

Minimum	1
Maximum	6999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	334.2 KiB

Quantile statistics

Minimum	1
5-th percentile	332
Q1	1659
median	3317
Q3	4975
95-th percentile	6365
Maximum	6999
Range	6998
Interquartile range (IQR)	3316

Descriptive statistics

Standard deviation	1929.885865
Coefficient of variation (CV)	0.5802837135
Kurtosis	-1.165900827
Mean	3325.762589
Median Absolute Deviation (MAD)	1658
Skewness	0.02600939138
Sum	66176024
Variance	3724459.454
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3584	3	< 0.1%
3102	3	< 0.1%
1910	3	< 0.1%
573	3	< 0.1%
2496	3	< 0.1%
5561	3	< 0.1%
4866	3	< 0.1%
3733	3	< 0.1%
343	3	< 0.1%
3245	3	< 0.1%
Other values (6989)	19868	46.5%
(Missing)	22859	53.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	3	< 0.1%
2	3	< 0.1%
3	3	< 0.1%
4	3	< 0.1%
5	3	< 0.1%
6	3	< 0.1%
7	3	< 0.1%
8	3	< 0.1%
9	3	< 0.1%
10	3	< 0.1%

Value	Count	Frequency (%)
6999	1	< 0.1%
6998	1	< 0.1%
6997	1	< 0.1%
6996	1	< 0.1%
6995	1	< 0.1%
6994	1	< 0.1%
6993	1	< 0.1%
6992	1	< 0.1%
6991	1	< 0.1%
6990	1	< 0.1%

date
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	334.2 KiB

2077	12708
2074	12309
2073	10741
2076	6999

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	171028
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2073
2nd row	2073
3rd row	2073
4th row	2073
5th row	2073

Common Values

Value	Count	Frequency (%)
2077	12708	29.7%
2074	12309	28.8%
2073	10741	25.1%
2076	6999	16.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2077	12708	29.7%
2074	12309	28.8%
2073	10741	25.1%
2076	6999	16.4%

Most occurring characters

Value	Count	Frequency (%)
7	55465	32.4%
2	42757	25.0%
0	42757	25.0%
4	12309	7.2%
3	10741	6.3%
6	6999	4.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	171028	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	55465	32.4%
2	42757	25.0%
0	42757	25.0%
4	12309	7.2%
3	10741	6.3%
6	6999	4.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	171028	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	55465	32.4%
2	42757	25.0%
0	42757	25.0%
4	12309	7.2%
3	10741	6.3%
6	6999	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	171028	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	55465	32.4%
2	42757	25.0%
0	42757	25.0%
4	12309	7.2%
3	10741	6.3%
6	6999	4.1%

StudentID
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	32016
Distinct (%)	100.0%
Missing	10741
Missing (%)	25.1%
Infinite	0
Infinite (%)	0.0%
Mean	33386.17504

Minimum	1
Maximum	70299
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	334.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1601.75
Q1	11949.75
median	38199.5
Q3	46203.25
95-th percentile	66251.5
Maximum	70299
Range	70298
Interquartile range (IQR)	34253.5

Descriptive statistics

Standard deviation	21761.56304
Coefficient of variation (CV)	0.6518136029
Kurtosis	-1.278212106
Mean	33386.17504
Median Absolute Deviation (MAD)	21338
Skewness	-0.02981892068
Sum	1068891780
Variance	473565625.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8345	1	< 0.1%
4381	1	< 0.1%
19351	1	< 0.1%
35189	1	< 0.1%
20039	1	< 0.1%
19724	1	< 0.1%
43525	1	< 0.1%
19452	1	< 0.1%
69281	1	< 0.1%
2231	1	< 0.1%
Other values (32006)	32006	74.9%
(Missing)	10741	25.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
70299	1	< 0.1%
70293	1	< 0.1%
70292	1	< 0.1%
70286	1	< 0.1%
70279	1	< 0.1%
70278	1	< 0.1%
70269	1	< 0.1%
70268	1	< 0.1%
70263	1	< 0.1%
70262	1	< 0.1%

VoucherNo
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	10741
Missing (%)	25.1%
Memory size	334.2 KiB

StudentCode
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	31342
Distinct (%)	97.9%
Missing	10741
Missing (%)	25.1%
Memory size	334.2 KiB

2021-20183	7
2021-20170	6
2021-20178	5
2021-4970	5
2021-20218	4
Other values (31337)	31989

Length

Max length	10
Median length	10
Mean length	9.731509245
Min length	6

Characters and Unicode

Total characters	311564
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	30721 ?
Unique (%)	96.0%

Sample

1st row	2017-1
2nd row	2017-34901
3rd row	2017-34902
4th row	2017-34903
5th row	2017-34904

Common Values

Value	Count	Frequency (%)
2021-20183	7	< 0.1%
2021-20170	6	< 0.1%
2021-20178	5	< 0.1%
2021-4970	5	< 0.1%
2021-20218	4	< 0.1%
2021-20104	4	< 0.1%
2021-20101	4	< 0.1%
2021-20143	4	< 0.1%
2021-20230	4	< 0.1%
2017-41229	3	< 0.1%
Other values (31332)	31970	74.8%
(Missing)	10741	25.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2021-20183	7	< 0.1%
2021-20170	6	< 0.1%
2021-20178	5	< 0.1%
2021-4970	5	< 0.1%
2021-20101	4	< 0.1%
2021-20143	4	< 0.1%
2021-20230	4	< 0.1%
2021-20218	4	< 0.1%
2021-20104	4	< 0.1%
2021-20097	3	< 0.1%
Other values (31332)	31970	99.9%

Most occurring characters

Value	Count	Frequency (%)
2	57611	18.5%
1	49256	15.8%
0	44392	14.2%
-	32016	10.3%
7	24438	7.8%
9	20188	6.5%
4	19830	6.4%
6	18058	5.8%
3	18030	5.8%
5	14310	4.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	279548	89.7%
Dash Punctuation	32016	10.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	57611	20.6%
1	49256	17.6%
0	44392	15.9%
7	24438	8.7%
9	20188	7.2%
4	19830	7.1%
6	18058	6.5%
3	18030	6.4%
5	14310	5.1%
8	13435	4.8%

Dash Punctuation

Value	Count	Frequency (%)
-	32016	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	311564	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	57611	18.5%
1	49256	15.8%
0	44392	14.2%
-	32016	10.3%
7	24438	7.8%
9	20188	6.5%
4	19830	6.4%
6	18058	5.8%
3	18030	5.8%
5	14310	4.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	311564	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	57611	18.5%
1	49256	15.8%
0	44392	14.2%
-	32016	10.3%
7	24438	7.8%
9	20188	6.5%
4	19830	6.4%
6	18058	5.8%
3	18030	5.8%
5	14310	4.6%

ContactNo
Real number (ℝ_≥0)

MISSING
SKEWED

Distinct	31437
Distinct (%)	98.2%
Missing	10741
Missing (%)	25.1%
Infinite	0
Infinite (%)	0.0%
Mean	2.919398868 × 10¹⁰

Minimum	1146136
Maximum	9.779880255 × 10¹²
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	334.2 KiB

Quantile statistics

Minimum	1146136
5-th percentile	9804055726
Q1	9814798389
median	9840887842
Q3	9861019832
95-th percentile	9868272674
Maximum	9.779880255 × 10¹²
Range	9.779879108 × 10¹²
Interquartile range (IQR)	46221443.25

Descriptive statistics

Standard deviation	4.330771431 × 10¹¹
Coefficient of variation (CV)	14.83446294
Kurtosis	502.7580922
Mean	2.919398868 × 10¹⁰
Median Absolute Deviation (MAD)	22556511
Skewness	22.46132012
Sum	9.346747417 × 10¹⁴
Variance	1.875558119 × 10²³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9846820112	3	< 0.1%
9807863547	3	< 0.1%
9819236572	3	< 0.1%
9860989805	3	< 0.1%
9851299099	3	< 0.1%
9741074118	3	< 0.1%
9843898943	3	< 0.1%
9840418563	3	< 0.1%
9862467173	3	< 0.1%
9862565407	3	< 0.1%
Other values (31427)	31986	74.8%
(Missing)	10741	25.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1146136	1	< 0.1%
9869840	1	< 0.1%
11660267	1	< 0.1%
14034143	1	< 0.1%
14039111	1	< 0.1%
14039122	1	< 0.1%
14109542	1	< 0.1%
14114388	1	< 0.1%
14155269	1	< 0.1%
14250791	2	< 0.1%

Value	Count	Frequency (%)
9.779880255 × 10¹²	1	< 0.1%
9.779869377 × 10¹²	1	< 0.1%
9.779868835 × 10¹²	1	< 0.1%
9.779867342 × 10¹²	1	< 0.1%
9.779867116 × 10¹²	1	< 0.1%
9.779866822 × 10¹²	1	< 0.1%
9.779865959 × 10¹²	1	< 0.1%
9.779865595 × 10¹²	1	< 0.1%
9.779864254 × 10¹²	1	< 0.1%
9.779863948 × 10¹²	1	< 0.1%

Email
Categorical

HIGH CARDINALITY
MISSING

Distinct	30138
Distinct (%)	94.1%
Missing	10741
Missing (%)	25.1%
Memory size	334.2 KiB

bkbinod070bex@gmail.com	207
abc@gmail.com	176
gradientacademypkr@gmail.com	148
neonepaledu@gmail.com	77
Bkbinod070bex@gmail.com	68
Other values (30133)	31340

Length

Max length	40
Median length	24
Mean length	23.38546352
Min length	11

Characters and Unicode

Total characters	748709
Distinct characters	67
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	29435 ?
Unique (%)	91.9%

Sample

1st row	alayniaz@gmail.com
2nd row	rupacepakhrin@gmail.com
3rd row	paudelrajbibek@gmail.com
4th row	luckshrestha@gmail.com
5th row	aaceesh.bhandary@gmail.com

Common Values

Value	Count	Frequency (%)
bkbinod070bex@gmail.com	207	0.5%
abc@gmail.com	176	0.4%
gradientacademypkr@gmail.com	148	0.3%
neonepaledu@gmail.com	77	0.2%
Bkbinod070bex@gmail.com	68	0.2%
beacareer@gmail.com	65	0.2%
BKbinod070bex@gmail.com	61	0.1%
kcpawan07@gmail.com	44	0.1%
ABC@GMAIL.COM	40	0.1%
bik3sh@yahoo.com	38	0.1%
Other values (30128)	31092	72.7%
(Missing)	10741	25.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
bkbinod070bex@gmail.com	337	1.1%
abc@gmail.com	219	0.7%
gradientacademypkr@gmail.com	148	0.5%
neonepaledu@gmail.com	77	0.2%
beacareer@gmail.com	65	0.2%
kcpawan07@gmail.com	44	0.1%
bik3sh@yahoo.com	38	0.1%
brijkishorprasad196@gmail.com	30	0.1%
prakash.singhvision@gmail.com	29	0.1%
barunjha2007@gmail.com	24	0.1%
Other values (30043)	31005	96.8%

Most occurring characters

Value	Count	Frequency (%)
a	97912	13.1%
m	71890	9.6%
i	55720	7.4%
l	41245	5.5%
o	40066	5.4%
g	35835	4.8%
.	35827	4.8%
c	35155	4.7%
@	32016	4.3%
h	28255	3.8%
Other values (57)	274788	36.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	586057	78.3%
Decimal Number	73433	9.8%
Other Punctuation	67843	9.1%
Uppercase Letter	21148	2.8%
Connector Punctuation	211	< 0.1%
Dash Punctuation	16	< 0.1%
Math Symbol	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	97912	16.7%
m	71890	12.3%
i	55720	9.5%
l	41245	7.0%
o	40066	6.8%
g	35835	6.1%
c	35155	6.0%
h	28255	4.8%
s	25628	4.4%
r	23622	4.0%
Other values (16)	130729	22.3%

Uppercase Letter

Value	Count	Frequency (%)
A	3302	15.6%
M	2456	11.6%
I	1807	8.5%
L	1404	6.6%
O	1395	6.6%
S	1353	6.4%
C	1285	6.1%
G	1215	5.7%
H	921	4.4%
R	881	4.2%
Other values (16)	5129	24.3%

Decimal Number

Value	Count	Frequency (%)
1	11230	15.3%
0	10486	14.3%
2	9550	13.0%
3	6654	9.1%
7	6642	9.0%
9	6576	9.0%
5	6295	8.6%
4	5646	7.7%
8	5571	7.6%
6	4783	6.5%

Other Punctuation

Value	Count	Frequency (%)
.	35827	52.8%
@	32016	47.2%

Connector Punctuation

Value	Count	Frequency (%)
_	211	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	16	100.0%

Math Symbol

Value	Count	Frequency (%)
+	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	607205	81.1%
Common	141504	18.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	97912	16.1%
m	71890	11.8%
i	55720	9.2%
l	41245	6.8%
o	40066	6.6%
g	35835	5.9%
c	35155	5.8%
h	28255	4.7%
s	25628	4.2%
r	23622	3.9%
Other values (42)	151877	25.0%

Common

Value	Count	Frequency (%)
.	35827	25.3%
@	32016	22.6%
1	11230	7.9%
0	10486	7.4%
2	9550	6.7%
3	6654	4.7%
7	6642	4.7%
9	6576	4.6%
5	6295	4.4%
4	5646	4.0%
Other values (5)	10582	7.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	748709	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	97912	13.1%
m	71890	9.6%
i	55720	7.4%
l	41245	5.5%
o	40066	5.4%
g	35835	4.8%
.	35827	4.8%
c	35155	4.7%
@	32016	4.3%
h	28255	3.8%
Other values (57)	274788	36.7%

NationalityID
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	10741
Missing (%)	25.1%
Memory size	334.2 KiB

1.0	31988
2.0	27
3.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	96048
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	31988	74.8%
2.0	27	0.1%
3.0	1	< 0.1%
(Missing)	10741	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	31988	99.9%
2.0	27	0.1%
3.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
1	31988	33.3%
2	27	< 0.1%
3	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64032	66.7%
Other Punctuation	32016	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	32016	50.0%
1	31988	50.0%
2	27	< 0.1%
3	1	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	32016	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	96048	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
1	31988	33.3%
2	27	< 0.1%
3	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96048	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
1	31988	33.3%
2	27	< 0.1%
3	1	< 0.1%

CountryID
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	10741
Missing (%)	25.1%
Memory size	334.2 KiB

1.0	31988
2.0	27
148.0	1

Length

Max length	5
Median length	3
Mean length	3.000062469
Min length	3

Characters and Unicode

Total characters	96050
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	31988	74.8%
2.0	27	0.1%
148.0	1	< 0.1%
(Missing)	10741	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	31988	99.9%
2.0	27	0.1%
148.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
1	31989	33.3%
2	27	< 0.1%
4	1	< 0.1%
8	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64034	66.7%
Other Punctuation	32016	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	32016	50.0%
1	31989	50.0%
2	27	< 0.1%
4	1	< 0.1%
8	1	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	32016	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	96050	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
1	31989	33.3%
2	27	< 0.1%
4	1	< 0.1%
8	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96050	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
1	31989	33.3%
2	27	< 0.1%
4	1	< 0.1%
8	1	< 0.1%

IndianEmbassyID
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42757
Missing (%)	100.0%
Memory size	334.2 KiB

ExamCenterID
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	10745
Missing (%)	25.1%
Memory size	334.2 KiB

1.0	32012

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	96036
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	32012	74.9%
(Missing)	10745	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	32012	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	32012	33.3%
.	32012	33.3%
0	32012	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64024	66.7%
Other Punctuation	32012	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	32012	50.0%
0	32012	50.0%

Other Punctuation

Value	Count	Frequency (%)
.	32012	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	96036	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	32012	33.3%
.	32012	33.3%
0	32012	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96036	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	32012	33.3%
.	32012	33.3%
0	32012	33.3%

ExamSessionID
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	95
Distinct (%)	0.3%
Missing	10745
Missing (%)	25.1%
Infinite	0
Infinite (%)	0.0%
Mean	39.21432588

Minimum	1
Maximum	110
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	334.2 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	18
median	33
Q3	50
95-th percentile	94
Maximum	110
Range	109
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	27.83993469
Coefficient of variation (CV)	0.7099429625
Kurtosis	-0.3606547489
Mean	39.21432588
Median Absolute Deviation (MAD)	16
Skewness	0.7504893627
Sum	1255329
Variance	775.0619634
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
24	683	1.6%
27	660	1.5%
25	655	1.5%
26	654	1.5%
28	649	1.5%
23	649	1.5%
1	633	1.5%
4	629	1.5%
3	626	1.5%
2	570	1.3%
Other values (85)	25604	59.9%
(Missing)	10745	25.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	633	1.5%
2	570	1.3%
3	626	1.5%
4	629	1.5%
5	355	0.8%
6	356	0.8%
7	414	1.0%
8	402	0.9%
9	374	0.9%
10	370	0.9%

Value	Count	Frequency (%)
110	43	0.1%
109	55	0.1%
108	86	0.2%
107	87	0.2%
106	91	0.2%
105	104	0.2%
104	104	0.2%
103	79	0.2%
102	95	0.2%
101	115	0.3%

ZoneID
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	14
Distinct (%)	< 0.1%
Missing	10769
Missing (%)	25.2%
Infinite	0
Infinite (%)	0.0%
Mean	5.318463174

Minimum	1
Maximum	14
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	334.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	8
95-th percentile	13
Maximum	14
Range	13
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.803603932
Coefficient of variation (CV)	0.7151697413
Kurtosis	-0.7018717659
Mean	5.318463174
Median Absolute Deviation (MAD)	3
Skewness	0.592119576
Sum	170127
Variance	14.46740287
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
1	6626	15.5%
2	3936	9.2%
8	3265	7.6%
9	3092	7.2%
6	3005	7.0%
4	2884	6.7%
3	2771	6.5%
5	1379	3.2%
12	1070	2.5%
13	1002	2.3%
Other values (4)	2958	6.9%
(Missing)	10769	25.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	6626	15.5%
2	3936	9.2%
3	2771	6.5%
4	2884	6.7%
5	1379	3.2%
6	3005	7.0%
7	885	2.1%
8	3265	7.6%
9	3092	7.2%
10	843	2.0%

Value	Count	Frequency (%)
14	962	2.2%
13	1002	2.3%
12	1070	2.5%
11	268	0.6%
10	843	2.0%
9	3092	7.2%
8	3265	7.6%
7	885	2.1%
6	3005	7.0%
5	1379	3.2%

DistrictID
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	75
Distinct (%)	0.2%
Missing	10769
Missing (%)	25.2%
Infinite	0
Infinite (%)	0.0%
Mean	36.86632487

Minimum	4
Maximum	78
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	334.2 KiB

Quantile statistics

Minimum	4
5-th percentile	4
Q1	18
median	39
Q3	56
95-th percentile	70
Maximum	78
Range	74
Interquartile range (IQR)	38

Descriptive statistics

Standard deviation	22.470467
Coefficient of variation (CV)	0.609511989
Kurtosis	-1.228402071
Mean	36.86632487
Median Absolute Deviation (MAD)	19
Skewness	0.02904745296
Sum	1179280
Variance	504.9218872
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	2599	6.1%
69	1388	3.2%
43	1340	3.1%
32	1309	3.1%
24	1209	2.8%
42	1141	2.7%
5	1099	2.6%
6	999	2.3%
54	996	2.3%
62	990	2.3%
Other values (65)	18918	44.2%
(Missing)	10769	25.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4	2599	6.1%
5	1099	2.6%
6	999	2.3%
7	672	1.6%
8	368	0.9%
9	391	0.9%
10	56	0.1%
11	439	1.0%
12	267	0.6%
13	212	0.5%

Value	Count	Frequency (%)
78	494	1.2%
77	88	0.2%
76	179	0.4%
75	134	0.3%
74	67	0.2%
73	87	0.2%
72	159	0.4%
71	166	0.4%
70	234	0.5%
69	1388	3.2%

SLCEquivalentID
Categorical

MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	10741
Missing (%)	25.1%
Memory size	334.2 KiB

1.0	30597
4.0	906
3.0	506
2.0	7

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	96048
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	30597	71.6%
4.0	906	2.1%
3.0	506	1.2%
2.0	7	< 0.1%
(Missing)	10741	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	30597	95.6%
4.0	906	2.8%
3.0	506	1.6%
2.0	7	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
1	30597	31.9%
4	906	0.9%
3	506	0.5%
2	7	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64032	66.7%
Other Punctuation	32016	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	32016	50.0%
1	30597	47.8%
4	906	1.4%
3	506	0.8%
2	7	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	32016	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	96048	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
1	30597	31.9%
4	906	0.9%
3	506	0.5%
2	7	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96048	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
1	30597	31.9%
4	906	0.9%
3	506	0.5%
2	7	< 0.1%

SLCBoardID
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	10741
Missing (%)	25.1%
Memory size	334.2 KiB

1.0	31557
2.0	459

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	96048
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	31557	73.8%
2.0	459	1.1%
(Missing)	10741	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	31557	98.6%
2.0	459	1.4%

Most occurring characters

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
1	31557	32.9%
2	459	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64032	66.7%
Other Punctuation	32016	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	32016	50.0%
1	31557	49.3%
2	459	0.7%

Other Punctuation

Value	Count	Frequency (%)
.	32016	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	96048	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
1	31557	32.9%
2	459	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96048	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
1	31557	32.9%
2	459	0.5%

PCLEquivalentID
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	10741
Missing (%)	25.1%
Memory size	334.2 KiB

1.0	30234
3.0	914
2.0	470
5.0	324
6.0	74

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	96048
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	30234	70.7%
3.0	914	2.1%
2.0	470	1.1%
5.0	324	0.8%
6.0	74	0.2%
(Missing)	10741	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	30234	94.4%
3.0	914	2.9%
2.0	470	1.5%
5.0	324	1.0%
6.0	74	0.2%

Most occurring characters

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
1	30234	31.5%
3	914	1.0%
2	470	0.5%
5	324	0.3%
6	74	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64032	66.7%
Other Punctuation	32016	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	32016	50.0%
1	30234	47.2%
3	914	1.4%
2	470	0.7%
5	324	0.5%
6	74	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	32016	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	96048	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
1	30234	31.5%
3	914	1.0%
2	470	0.5%
5	324	0.3%
6	74	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96048	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
1	30234	31.5%
3	914	1.0%
2	470	0.5%
5	324	0.3%
6	74	0.1%

PCLBoardID
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	< 0.1%
Missing	10741
Missing (%)	25.1%
Infinite	0
Infinite (%)	0.0%
Mean	1.228104698

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	334.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	4
Maximum	6
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.9330409442
Coefficient of variation (CV)	0.7597405547
Kurtosis	16.32177795
Mean	1.228104698
Median Absolute Deviation (MAD)	0
Skewness	4.161409768
Sum	39319
Variance	0.8705654035
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	29997	70.2%
6	697	1.6%
4	685	1.6%
5	322	0.8%
3	160	0.4%
2	155	0.4%
(Missing)	10741	25.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	29997	70.2%
2	155	0.4%
3	160	0.4%
4	685	1.6%
5	322	0.8%
6	697	1.6%

Value	Count	Frequency (%)
6	697	1.6%
5	322	0.8%
4	685	1.6%
3	160	0.4%
2	155	0.4%
1	29997	70.2%

PCLResultTypeID
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	10741
Missing (%)	25.1%
Memory size	334.2 KiB

1.0	25574
5.0	6442

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	96048
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	5.0

Common Values

Value	Count	Frequency (%)
1.0	25574	59.8%
5.0	6442	15.1%
(Missing)	10741	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	25574	79.9%
5.0	6442	20.1%

Most occurring characters

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
1	25574	26.6%
5	6442	6.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64032	66.7%
Other Punctuation	32016	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	32016	50.0%
1	25574	39.9%
5	6442	10.1%

Other Punctuation

Value	Count	Frequency (%)
.	32016	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	96048	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
1	25574	26.6%
5	6442	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96048	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
1	25574	26.6%
5	6442	6.7%

PCLLocationID
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	10741
Missing (%)	25.1%
Memory size	334.2 KiB

0.0	32016

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	96048
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	32016	74.9%
(Missing)	10741	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	32016	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	64032	66.7%
.	32016	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64032	66.7%
Other Punctuation	32016	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	64032	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	32016	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	96048	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	64032	66.7%
.	32016	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96048	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	64032	66.7%
.	32016	33.3%

EthnicGroupSpecify
Categorical

MISSING
UNIFORM

Distinct	2
Distinct (%)	100.0%
Missing	42755
Missing (%)	> 99.9%
Memory size	334.2 KiB

Chhettri	1
Bhramin	1

Length

Max length	8
Median length	7.5
Mean length	7.5
Min length	7

Characters and Unicode

Total characters	15
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	100.0%

Sample

1st row	Bhramin
2nd row	Chhettri

Common Values

Value	Count	Frequency (%)
Chhettri	1	< 0.1%
Bhramin	1	< 0.1%
(Missing)	42755	> 99.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
bhramin	1	50.0%
chhettri	1	50.0%

Most occurring characters

Value	Count	Frequency (%)
h	3	20.0%
r	2	13.3%
i	2	13.3%
t	2	13.3%
B	1	6.7%
a	1	6.7%
m	1	6.7%
n	1	6.7%
C	1	6.7%
e	1	6.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13	86.7%
Uppercase Letter	2	13.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
h	3	23.1%
r	2	15.4%
i	2	15.4%
t	2	15.4%
a	1	7.7%
m	1	7.7%
n	1	7.7%
e	1	7.7%

Uppercase Letter

Value	Count	Frequency (%)
B	1	50.0%
C	1	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
h	3	20.0%
r	2	13.3%
i	2	13.3%
t	2	13.3%
B	1	6.7%
a	1	6.7%
m	1	6.7%
n	1	6.7%
C	1	6.7%
e	1	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
h	3	20.0%
r	2	13.3%
i	2	13.3%
t	2	13.3%
B	1	6.7%
a	1	6.7%
m	1	6.7%
n	1	6.7%
C	1	6.7%
e	1	6.7%

SLCEquivalentSpecify
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	41761
Missing (%)	97.7%
Memory size	334.2 KiB

SLCBoardSpecify
Categorical

HIGH CARDINALITY
MISSING

Distinct	113
Distinct (%)	23.0%
Missing	42266
Missing (%)	98.9%
Memory size	334.2 KiB

NEB	177
CBSE	111
SEE	22
Private	18
SLC	9
Other values (108)	154

Length

Max length	73
Median length	4
Mean length	6.759674134
Min length	1

Characters and Unicode

Total characters	3319
Distinct characters	56
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	87 ?
Unique (%)	17.7%

Sample

1st row	School Leaving Certificate Examination
2nd row	SLC
3rd row	CBSE board
4th row	H.M.G
5th row	CBSE

Common Values

Value	Count	Frequency (%)
NEB	177	0.4%
CBSE	111	0.3%
SEE	22	0.1%
Private	18	< 0.1%
SLC	9	< 0.1%
HSEB	7	< 0.1%
PABSON	7	< 0.1%
ICSE	6	< 0.1%
National Examination Board	6	< 0.1%
SLC Board	5	< 0.1%
Other values (103)	123	0.3%
(Missing)	42266	98.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
neb	189	28.6%
cbse	118	17.9%
board	44	6.7%
see	26	3.9%
private	24	3.6%
slc	20	3.0%
school	17	2.6%
of	15	2.3%
national	13	2.0%
examination	13	2.0%
Other values (87)	182	27.5%

Most occurring characters

Value	Count	Frequency (%)
E	413	12.4%
B	368	11.1%
N	233	7.0%
a	226	6.8%
S	215	6.5%
	186	5.6%
o	162	4.9%
C	157	4.7%
i	138	4.2%
n	137	4.1%
Other values (46)	1084	32.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1600	48.2%
Lowercase Letter	1488	44.8%
Space Separator	186	5.6%
Other Punctuation	22	0.7%
Open Punctuation	9	0.3%
Close Punctuation	9	0.3%
Decimal Number	3	0.1%
Dash Punctuation	2	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	226	15.2%
o	162	10.9%
i	138	9.3%
n	137	9.2%
e	115	7.7%
r	114	7.7%
t	104	7.0%
d	93	6.2%
c	60	4.0%
l	50	3.4%
Other values (14)	289	19.4%

Uppercase Letter

Value	Count	Frequency (%)
E	413	25.8%
B	368	23.0%
N	233	14.6%
S	215	13.4%
C	157	9.8%
P	41	2.6%
I	35	2.2%
A	24	1.5%
O	22	1.4%
L	20	1.2%
Other values (12)	72	4.5%

Other Punctuation

Value	Count	Frequency (%)
.	15	68.2%
,	5	22.7%
/	1	4.5%
\	1	4.5%

Decimal Number

Value	Count	Frequency (%)
0	2	66.7%
1	1	33.3%

Space Separator

Value	Count	Frequency (%)
	186	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	9	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	9	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3088	93.0%
Common	231	7.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	413	13.4%
B	368	11.9%
N	233	7.5%
a	226	7.3%
S	215	7.0%
o	162	5.2%
C	157	5.1%
i	138	4.5%
n	137	4.4%
e	115	3.7%
Other values (36)	924	29.9%

Common

Value	Count	Frequency (%)
	186	80.5%
.	15	6.5%
(	9	3.9%
)	9	3.9%
,	5	2.2%
-	2	0.9%
0	2	0.9%
/	1	0.4%
\	1	0.4%
1	1	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3319	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	413	12.4%
B	368	11.1%
N	233	7.0%
a	226	6.8%
S	215	6.5%
	186	5.6%
o	162	4.9%
C	157	4.7%
i	138	4.2%
n	137	4.1%
Other values (46)	1084	32.7%

PCLEquivalentSpecify
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42674
Missing (%)	99.8%
Memory size	334.2 KiB

PCLBoardSpecify
Categorical

HIGH CARDINALITY
MISSING

Distinct	117
Distinct (%)	16.0%
Missing	42027
Missing (%)	98.3%
Memory size	334.2 KiB

NEB	558
National Examination Board	11
HSBTE	10
BSEB	9
Bihar Board	7
Other values (112)	135

Length

Max length	69
Median length	3
Mean length	6.361643836
Min length	1

Characters and Unicode

Total characters	4644
Distinct characters	54
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	95 ?
Unique (%)	13.0%

Sample

1st row	NEB
2nd row	NEB
3rd row	NEB
4th row	National Examination Board.
5th row	NEB

Common Values

Value	Count	Frequency (%)
NEB	558	1.3%
National Examination Board	11	< 0.1%
HSBTE	10	< 0.1%
BSEB	9	< 0.1%
Bihar Board	7	< 0.1%
National Examinations Board	5	< 0.1%
Bihar School Examination Board	3	< 0.1%
ISC	3	< 0.1%
CBSE	3	< 0.1%
national examination board	2	< 0.1%
Other values (107)	119	0.3%
(Missing)	42027	98.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
neb	563	57.3%
board	84	8.6%
examination	29	3.0%
national	28	2.9%
bihar	25	2.5%
education	18	1.8%
of	17	1.7%
school	16	1.6%
technical	13	1.3%
examinations	12	1.2%
Other values (93)	177	18.0%

Most occurring characters

Value	Count	Frequency (%)
B	718	15.5%
E	672	14.5%
N	620	13.4%
a	372	8.0%
	261	5.6%
o	219	4.7%
i	196	4.2%
n	194	4.2%
t	144	3.1%
r	133	2.9%
Other values (44)	1115	24.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2452	52.8%
Lowercase Letter	1887	40.6%
Space Separator	261	5.6%
Other Punctuation	35	0.8%
Open Punctuation	3	0.1%
Close Punctuation	3	0.1%
Dash Punctuation	3	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	372	19.7%
o	219	11.6%
i	196	10.4%
n	194	10.3%
t	144	7.6%
r	133	7.0%
d	121	6.4%
l	74	3.9%
e	73	3.9%
c	66	3.5%
Other values (14)	295	15.6%

Uppercase Letter

Value	Count	Frequency (%)
B	718	29.3%
E	672	27.4%
N	620	25.3%
S	72	2.9%
T	56	2.3%
A	54	2.2%
I	50	2.0%
H	35	1.4%
C	32	1.3%
R	26	1.1%
Other values (13)	117	4.8%

Other Punctuation

Value	Count	Frequency (%)
.	17	48.6%
,	17	48.6%
&	1	2.9%

Space Separator

Value	Count	Frequency (%)
	261	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4339	93.4%
Common	305	6.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
B	718	16.5%
E	672	15.5%
N	620	14.3%
a	372	8.6%
o	219	5.0%
i	196	4.5%
n	194	4.5%
t	144	3.3%
r	133	3.1%
d	121	2.8%
Other values (37)	950	21.9%

Common

Value	Count	Frequency (%)
	261	85.6%
.	17	5.6%
,	17	5.6%
(	3	1.0%
)	3	1.0%
-	3	1.0%
&	1	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4644	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
B	718	15.5%
E	672	14.5%
N	620	13.4%
a	372	8.0%
	261	5.6%
o	219	4.7%
i	196	4.2%
n	194	4.2%
t	144	3.1%
r	133	2.9%
Other values (44)	1115	24.0%

SLCSchoolDistrictID
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	75
Distinct (%)	0.2%
Missing	11138
Missing (%)	26.0%
Infinite	0
Infinite (%)	0.0%
Mean	31.98200449

Minimum	4
Maximum	78
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	334.2 KiB

Quantile statistics

Minimum	4
5-th percentile	4
Q1	6
median	31
Q3	50
95-th percentile	69
Maximum	78
Range	74
Interquartile range (IQR)	44

Descriptive statistics

Standard deviation	23.75228948
Coefficient of variation (CV)	0.7426766977
Kurtosis	-1.310439518
Mean	31.98200449
Median Absolute Deviation (MAD)	25
Skewness	0.2346443416
Sum	1011239
Variance	564.1712556
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	5858	13.7%
6	2119	5.0%
24	1682	3.9%
43	1594	3.7%
32	1389	3.2%
5	1313	3.1%
47	1213	2.8%
42	1103	2.6%
62	1057	2.5%
54	889	2.1%
Other values (65)	13402	31.3%
(Missing)	11138	26.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4	5858	13.7%
5	1313	3.1%
6	2119	5.0%
7	520	1.2%
8	152	0.4%
9	206	0.5%
10	25	0.1%
11	226	0.5%
12	373	0.9%
13	164	0.4%

Value	Count	Frequency (%)
78	701	1.6%
77	68	0.2%
76	66	0.2%
75	60	0.1%
74	37	0.1%
73	40	0.1%
72	43	0.1%
71	64	0.1%
70	202	0.5%
69	796	1.9%

SLCSchoolFullAddress
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	504
Distinct (%)	93.0%
Missing	42215
Missing (%)	98.7%
Memory size	334.2 KiB

Chobhar, Kathmandu	5
Chobhar,Kathmandu	5
Janakpur	4
Kanchanpur saptari	3
Chobhar, Kathmandu, Nepal	3
Other values (499)	522

Length

Max length	137
Median length	20
Mean length	21.91512915
Min length	1

Characters and Unicode

Total characters	11878
Distinct characters	71
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	478 ?
Unique (%)	88.2%

Sample

1st row	Shiwalaya-5, Kushma, Parbat
2nd row	Delhi Public School, Dharan
3rd row	Rupauliya-9 Mahalbari
4th row	Manbhawan
5th row	narayantar,jorpati,ktm

Common Values

Value	Count	Frequency (%)
Chobhar, Kathmandu	5	< 0.1%
Chobhar,Kathmandu	5	< 0.1%
Janakpur	4	< 0.1%
Kanchanpur saptari	3	< 0.1%
Chobhar, Kathmandu, Nepal	3	< 0.1%
Malangawa, Sarlahi	3	< 0.1%
Kathmandu	3	< 0.1%
Bafal, Kathmandu	2	< 0.1%
Dharan,Nepal	2	< 0.1%
Bansbari, Kathmandu	2	< 0.1%
Other values (494)	510	1.2%
(Missing)	42215	98.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kathmandu	62	4.8%
nepal	38	2.9%
india	24	1.9%
	21	1.6%
lalitpur	18	1.4%
kanchanpur	17	1.3%
morang	15	1.2%
school	13	1.0%
pokhara	13	1.0%
dharan	12	0.9%
Other values (704)	1063	82.0%

Most occurring characters

Value	Count	Frequency (%)
a	1949	16.4%
	788	6.6%
r	667	5.6%
h	665	5.6%
n	649	5.5%
i	602	5.1%
,	498	4.2%
u	428	3.6%
t	409	3.4%
l	393	3.3%
Other values (61)	4830	40.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8248	69.4%
Uppercase Letter	1746	14.7%
Space Separator	788	6.6%
Other Punctuation	546	4.6%
Decimal Number	373	3.1%
Dash Punctuation	167	1.4%
Open Punctuation	5	< 0.1%
Close Punctuation	5	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
K	176	10.1%
B	168	9.6%
A	145	8.3%
S	129	7.4%
N	123	7.0%
D	108	6.2%
M	103	5.9%
R	99	5.7%
P	90	5.2%
I	87	5.0%
Other values (16)	518	29.7%

Lowercase Letter

Value	Count	Frequency (%)
a	1949	23.6%
r	667	8.1%
h	665	8.1%
n	649	7.9%
i	602	7.3%
u	428	5.2%
t	409	5.0%
l	393	4.8%
e	290	3.5%
p	290	3.5%
Other values (15)	1906	23.1%

Decimal Number

Value	Count	Frequency (%)
1	84	22.5%
0	83	22.3%
4	35	9.4%
2	31	8.3%
8	30	8.0%
5	25	6.7%
3	24	6.4%
7	23	6.2%
9	21	5.6%
6	17	4.6%

Other Punctuation

Value	Count	Frequency (%)
,	498	91.2%
.	42	7.7%
/	2	0.4%
;	2	0.4%
:	1	0.2%
&	1	0.2%

Dash Punctuation

Value	Count	Frequency (%)
-	167	100.0%

Space Separator

Value	Count	Frequency (%)
	788	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9994	84.1%
Common	1884	15.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1949	19.5%
r	667	6.7%
h	665	6.7%
n	649	6.5%
i	602	6.0%
u	428	4.3%
t	409	4.1%
l	393	3.9%
e	290	2.9%
p	290	2.9%
Other values (41)	3652	36.5%

Common

Value	Count	Frequency (%)
	788	41.8%
,	498	26.4%
-	167	8.9%
1	84	4.5%
0	83	4.4%
.	42	2.2%
4	35	1.9%
2	31	1.6%
8	30	1.6%
5	25	1.3%
Other values (10)	101	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11878	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1949	16.4%
	788	6.6%
r	667	5.6%
h	665	5.6%
n	649	5.5%
i	602	5.1%
,	498	4.2%
u	428	3.6%
t	409	3.4%
l	393	3.3%
Other values (61)	4830	40.7%

PCLSchoolDistrictID
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	71
Distinct (%)	0.2%
Missing	11453
Missing (%)	26.8%
Infinite	0
Infinite (%)	0.0%
Mean	22.78098646

Minimum	4
Maximum	78
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	334.2 KiB

Quantile statistics

Minimum	4
5-th percentile	4
Q1	4
median	6
Q3	43
95-th percentile	62
Maximum	78
Range	74
Interquartile range (IQR)	39

Descriptive statistics

Standard deviation	22.49776133
Coefficient of variation (CV)	0.9875674777
Kurtosis	-0.9109567025
Mean	22.78098646
Median Absolute Deviation (MAD)	2
Skewness	0.7430313014
Sum	713136
Variance	506.149265
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	12333	28.8%
6	3136	7.3%
43	2342	5.5%
24	2033	4.8%
47	1505	3.5%
32	1192	2.8%
62	1154	2.7%
5	1146	2.7%
42	978	2.3%
54	678	1.6%
Other values (61)	4807	11.2%
(Missing)	11453	26.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4	12333	28.8%
5	1146	2.7%
6	3136	7.3%
7	298	0.7%
8	14	< 0.1%
9	14	< 0.1%
10	1	< 0.1%
11	42	0.1%
12	298	0.7%
13	11	< 0.1%

Value	Count	Frequency (%)
78	416	1.0%
77	24	0.1%
76	3	< 0.1%
75	3	< 0.1%
74	1	< 0.1%
73	3	< 0.1%
71	2	< 0.1%
70	20	< 0.1%
69	219	0.5%
68	196	0.5%

PCLSchoolFullAddress
Categorical

HIGH CARDINALITY
MISSING

Distinct	619
Distinct (%)	71.9%
Missing	41896
Missing (%)	98.0%
Memory size	334.2 KiB

Maitighar, Kathmandu	20
Dillibazar, Kathmandu	10
KUMARIPATI LALITPUR	9
Kumaripati,Lalitpur	8
Kathmandu	8
Other values (614)	806

Length

Max length	96
Median length	20
Mean length	20.71196283
Min length	1

Characters and Unicode

Total characters	17833
Distinct characters	71
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	511 ?
Unique (%)	59.3%

Sample

1st row	Bharatpur-9, Chitwan
2nd row	Hetauda-04
3rd row	DHARAN, SUNSARI,NEPAL
4th row	Bpkihs, Dharan, Nepal
5th row	hetauda-4 makwanpur

Common Values

Value	Count	Frequency (%)
Maitighar, Kathmandu	20	< 0.1%
Dillibazar, Kathmandu	10	< 0.1%
KUMARIPATI LALITPUR	9	< 0.1%
Kumaripati,Lalitpur	8	< 0.1%
Kathmandu	8	< 0.1%
Bagbazar, Kathmandu	7	< 0.1%
New Baneshwor, Kathmandu	7	< 0.1%
LAINCHAUR KATHMANDU	7	< 0.1%
Basundhara, Kathmandu	6	< 0.1%
Lainchaur, Kathmandu	6	< 0.1%
Other values (609)	773	1.8%
(Missing)	41896	98.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kathmandu	236	13.5%
lalitpur	55	3.2%
nepal	41	2.4%
maitighar	30	1.7%
dillibazar	28	1.6%
india	28	1.6%
morang	24	1.4%
	24	1.4%
baneshwor	23	1.3%
new	21	1.2%
Other values (611)	1233	70.7%

Most occurring characters

Value	Count	Frequency (%)
a	2595	14.6%
h	959	5.4%
	904	5.1%
n	849	4.8%
r	801	4.5%
,	779	4.4%
i	770	4.3%
t	759	4.3%
u	742	4.2%
A	702	3.9%
Other values (61)	7973	44.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	11060	62.0%
Uppercase Letter	4680	26.2%
Space Separator	904	5.1%
Other Punctuation	816	4.6%
Decimal Number	245	1.4%
Dash Punctuation	111	0.6%
Open Punctuation	8	< 0.1%
Close Punctuation	8	< 0.1%
Math Symbol	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	702	15.0%
K	491	10.5%
N	348	7.4%
B	302	6.5%
R	294	6.3%
I	269	5.7%
H	268	5.7%
M	268	5.7%
D	263	5.6%
T	257	5.5%
Other values (16)	1218	26.0%

Lowercase Letter

Value	Count	Frequency (%)
a	2595	23.5%
h	959	8.7%
n	849	7.7%
r	801	7.2%
i	770	7.0%
t	759	6.9%
u	742	6.7%
d	473	4.3%
l	463	4.2%
m	419	3.8%
Other values (16)	2230	20.2%

Decimal Number

Value	Count	Frequency (%)
1	65	26.5%
4	38	15.5%
0	34	13.9%
3	26	10.6%
2	24	9.8%
5	16	6.5%
6	15	6.1%
9	10	4.1%
7	9	3.7%
8	8	3.3%

Other Punctuation

Value	Count	Frequency (%)
,	779	95.5%
.	35	4.3%
&	1	0.1%
/	1	0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	111	100.0%

Space Separator

Value	Count	Frequency (%)
	904	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	8	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	8	100.0%

Math Symbol

Value	Count	Frequency (%)
<	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15740	88.3%
Common	2093	11.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2595	16.5%
h	959	6.1%
n	849	5.4%
r	801	5.1%
i	770	4.9%
t	759	4.8%
u	742	4.7%
A	702	4.5%
K	491	3.1%
d	473	3.0%
Other values (42)	6599	41.9%

Common

Value	Count	Frequency (%)
	904	43.2%
,	779	37.2%
-	111	5.3%
1	65	3.1%
4	38	1.8%
.	35	1.7%
0	34	1.6%
3	26	1.2%
2	24	1.1%
5	16	0.8%
Other values (9)	61	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17833	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	2595	14.6%
h	959	5.4%
	904	5.1%
n	849	4.8%
r	801	4.5%
,	779	4.4%
i	770	4.3%
t	759	4.3%
u	742	4.2%
A	702	3.9%
Other values (61)	7973	44.7%

InstitutionTypeID
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	10741
Missing (%)	25.1%
Memory size	334.2 KiB

0.0	32016

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	96048
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	32016	74.9%
(Missing)	10741	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	32016	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	64032	66.7%
.	32016	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64032	66.7%
Other Punctuation	32016	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	64032	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	32016	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	96048	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	64032	66.7%
.	32016	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96048	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	64032	66.7%
.	32016	33.3%

IdentificationTypeID
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	10741
Missing (%)	25.1%
Memory size	334.2 KiB

1.0	26117
4.0	5389
2.0	284
6.0	207
8.0	19

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	96048
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	26117	61.1%
4.0	5389	12.6%
2.0	284	0.7%
6.0	207	0.5%
8.0	19	< 0.1%
(Missing)	10741	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	26117	81.6%
4.0	5389	16.8%
2.0	284	0.9%
6.0	207	0.6%
8.0	19	0.1%

Most occurring characters

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
1	26117	27.2%
4	5389	5.6%
2	284	0.3%
6	207	0.2%
8	19	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64032	66.7%
Other Punctuation	32016	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	32016	50.0%
1	26117	40.8%
4	5389	8.4%
2	284	0.4%
6	207	0.3%
8	19	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	32016	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	96048	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
1	26117	27.2%
4	5389	5.6%
2	284	0.3%
6	207	0.2%
8	19	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96048	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
1	26117	27.2%
4	5389	5.6%
2	284	0.3%
6	207	0.2%
8	19	< 0.1%

IdentificationNo
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	10741
Missing (%)	25.1%
Memory size	334.2 KiB

FormSubmittedDate
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	10743
Missing (%)	25.1%
Memory size	334.2 KiB

CheckedBy
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42757
Missing (%)	100.0%
Memory size	334.2 KiB

IsAccepted
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	10770
Missing (%)	25.2%
Memory size	334.2 KiB

1.0	31973
0.0	14

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	95961
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	31973	74.8%
0.0	14	< 0.1%
(Missing)	10770	25.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	31973	> 99.9%
0.0	14	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	32001	33.3%
.	31987	33.3%
1	31973	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	63974	66.7%
Other Punctuation	31987	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	32001	50.0%
1	31973	50.0%

Other Punctuation

Value	Count	Frequency (%)
.	31987	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	95961	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	32001	33.3%
.	31987	33.3%
1	31973	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	95961	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	32001	33.3%
.	31987	33.3%
1	31973	33.3%

IsSubmitted
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	10741
Missing (%)	25.1%
Memory size	334.2 KiB

1.0	31184
0.0	832

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	96048
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	31184	72.9%
0.0	832	1.9%
(Missing)	10741	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	31184	97.4%
0.0	832	2.6%

Most occurring characters

Value	Count	Frequency (%)
0	32848	34.2%
.	32016	33.3%
1	31184	32.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64032	66.7%
Other Punctuation	32016	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	32848	51.3%
1	31184	48.7%

Other Punctuation

Value	Count	Frequency (%)
.	32016	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	96048	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	32848	34.2%
.	32016	33.3%
1	31184	32.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96048	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	32848	34.2%
.	32016	33.3%
1	31184	32.5%

Password
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	31497
Distinct (%)	98.4%
Missing	10741
Missing (%)	25.1%
Memory size	334.2 KiB

Sb36	3
Nk54	3
Kj94	3
j9Q4	3
m5T6	3
Other values (31492)	32001

Length

Max length	5
Median length	5
Mean length	4.615535982
Min length	4

Characters and Unicode

Total characters	147771
Distinct characters	52
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	30991 ?
Unique (%)	96.8%

Sample

1st row	x9FT
2nd row	e6Z4
3rd row	Xm6x
4th row	e9M2
5th row	s2QX

Common Values

Value	Count	Frequency (%)
Sb36	3	< 0.1%
Nk54	3	< 0.1%
Kj94	3	< 0.1%
j9Q4	3	< 0.1%
m5T6	3	< 0.1%
f4B9	3	< 0.1%
s2W9	3	< 0.1%
Bk25	3	< 0.1%
Yz34	3	< 0.1%
w7E2	3	< 0.1%
Other values (31487)	31986	74.8%
(Missing)	10741	25.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
j9q4	3	< 0.1%
bk25	3	< 0.1%
nk54	3	< 0.1%
z5e8	3	< 0.1%
lj74	3	< 0.1%
f4b9	3	< 0.1%
m5t6	3	< 0.1%
kj94	3	< 0.1%
w7e2	3	< 0.1%
i9y3	3	< 0.1%
Other values (31487)	31986	99.9%

Most occurring characters

Value	Count	Frequency (%)
9	6744	4.6%
3	6703	4.5%
5	6662	4.5%
2	6646	4.5%
4	6631	4.5%
6	6593	4.5%
8	6552	4.4%
7	6469	4.4%
F	2393	1.6%
D	2351	1.6%
Other values (42)	90027	60.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	53000	35.9%
Uppercase Letter	49822	33.7%
Lowercase Letter	44949	30.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	2217	4.9%
r	2088	4.6%
o	2081	4.6%
c	2076	4.6%
b	2061	4.6%
j	2055	4.6%
s	2053	4.6%
m	2052	4.6%
q	2050	4.6%
p	2044	4.5%
Other values (12)	24172	53.8%

Uppercase Letter

Value	Count	Frequency (%)
F	2393	4.8%
D	2351	4.7%
T	2349	4.7%
B	2334	4.7%
E	2321	4.7%
N	2294	4.6%
A	2291	4.6%
Y	2281	4.6%
X	2280	4.6%
W	2280	4.6%
Other values (12)	26648	53.5%

Decimal Number

Value	Count	Frequency (%)
9	6744	12.7%
3	6703	12.6%
5	6662	12.6%
2	6646	12.5%
4	6631	12.5%
6	6593	12.4%
8	6552	12.4%
7	6469	12.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	94771	64.1%
Common	53000	35.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
F	2393	2.5%
D	2351	2.5%
T	2349	2.5%
B	2334	2.5%
E	2321	2.4%
N	2294	2.4%
A	2291	2.4%
Y	2281	2.4%
X	2280	2.4%
W	2280	2.4%
Other values (34)	71597	75.5%

Common

Value	Count	Frequency (%)
9	6744	12.7%
3	6703	12.6%
5	6662	12.6%
2	6646	12.5%
4	6631	12.5%
6	6593	12.4%
8	6552	12.4%
7	6469	12.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	147771	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
9	6744	4.6%
3	6703	4.5%
5	6662	4.5%
2	6646	4.5%
4	6631	4.5%
6	6593	4.5%
8	6552	4.4%
7	6469	4.4%
F	2393	1.6%
D	2351	1.6%
Other values (42)	90027	60.9%

RejectReason
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	20.0%
Missing	42752
Missing (%)	> 99.9%
Memory size	334.2 KiB

Rejected Duplicate Entry	5

Length

Max length	24
Median length	24
Mean length	24
Min length	24

Characters and Unicode

Total characters	120
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Rejected Duplicate Entry
2nd row	Rejected Duplicate Entry
3rd row	Rejected Duplicate Entry
4th row	Rejected Duplicate Entry
5th row	Rejected Duplicate Entry

Common Values

Value	Count	Frequency (%)
Rejected Duplicate Entry	5	< 0.1%
(Missing)	42752	> 99.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
entry	5	33.3%
duplicate	5	33.3%
rejected	5	33.3%

Most occurring characters

Value	Count	Frequency (%)
e	20	16.7%
t	15	12.5%
c	10	8.3%
	10	8.3%
R	5	4.2%
j	5	4.2%
d	5	4.2%
D	5	4.2%
u	5	4.2%
p	5	4.2%
Other values (7)	35	29.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	95	79.2%
Uppercase Letter	15	12.5%
Space Separator	10	8.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	20	21.1%
t	15	15.8%
c	10	10.5%
j	5	5.3%
d	5	5.3%
u	5	5.3%
p	5	5.3%
l	5	5.3%
i	5	5.3%
a	5	5.3%
Other values (3)	15	15.8%

Uppercase Letter

Value	Count	Frequency (%)
R	5	33.3%
D	5	33.3%
E	5	33.3%

Space Separator

Value	Count	Frequency (%)
	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	110	91.7%
Common	10	8.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	20	18.2%
t	15	13.6%
c	10	9.1%
R	5	4.5%
j	5	4.5%
d	5	4.5%
D	5	4.5%
u	5	4.5%
p	5	4.5%
l	5	4.5%
Other values (6)	30	27.3%

Common

Value	Count	Frequency (%)
	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	120	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	20	16.7%
t	15	12.5%
c	10	8.3%
	10	8.3%
R	5	4.2%
j	5	4.2%
d	5	4.2%
D	5	4.2%
u	5	4.2%
p	5	4.2%
Other values (7)	35	29.2%

ExamSessionName
Categorical

HIGH CARDINALITY
MISSING

Distinct	155
Distinct (%)	0.5%
Missing	10745
Missing (%)	25.1%
Memory size	334.2 KiB

08/04/2017 First(07:00 AM-09:00 AM)	250
08/03/2017 Third(01:00 PM-03:00 PM)	250
08/07/2017 First(07:00 AM-09:00 AM)	250
08/04/2017 Third(01:00 PM-03:00 PM)	250
08/05/2017 First(07:00 AM-09:00 AM)	250
Other values (150)	30762

Length

Max length	37
Median length	37
Mean length	36.5134637
Min length	36

Characters and Unicode

Total characters	1168869
Distinct characters	33
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	07/30/2017 Second(10:00 AM-12:00 PM)
2nd row	08/03/2017 Second(10:00 AM-12:00 PM)
3rd row	08/07/2017 First(07:00 AM-09:00 AM)
4th row	08/06/2017 Second(10:00 AM-12:00 PM)
5th row	08/07/2017 Second(10:00 AM-12:00 PM)

Common Values

Value	Count	Frequency (%)
08/04/2017 First(07:00 AM-09:00 AM)	250	0.6%
08/03/2017 Third(01:00 PM-03:00 PM)	250	0.6%
08/07/2017 First(07:00 AM-09:00 AM)	250	0.6%
08/04/2017 Third(01:00 PM-03:00 PM)	250	0.6%
08/05/2017 First(07:00 AM-09:00 AM)	250	0.6%
08/05/2017 Third(01:00 PM-03:00 PM)	250	0.6%
07/30/2017 Second(10:00 AM-12:00 PM)	250	0.6%
08/10/2017 Second(10:00 AM-12:00 PM)	250	0.6%
08/10/2017 First(07:00 AM-09:00 AM)	250	0.6%
07/30/2017 Fourth(04:00 PM-06:00 PM)	250	0.6%
Other values (145)	29512	69.0%
(Missing)	10745	25.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pm	24093	18.8%
second(10:00	8622	6.7%
am-12:00	8622	6.7%
first(07:00	7919	6.2%
am-09:00	7919	6.2%
am	7919	6.2%
pm-06:00	7815	6.1%
fourth(04:00	7815	6.1%
third(01:00	7656	6.0%
pm-03:00	7656	6.0%
Other values (41)	32012	25.0%

Most occurring characters

Value	Count	Frequency (%)
0	271270	23.2%
	128048	11.0%
1	72668	6.2%
2	66807	5.7%
/	64024	5.5%
:	64024	5.5%
M	64024	5.5%
P	39564	3.4%
(	32012	2.7%
-	32012	2.7%
Other values (23)	334416	28.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	512192	43.8%
Uppercase Letter	160060	13.7%
Lowercase Letter	144485	12.4%
Other Punctuation	128048	11.0%
Space Separator	128048	11.0%
Open Punctuation	32012	2.7%
Dash Punctuation	32012	2.7%
Close Punctuation	32012	2.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	23390	16.2%
o	16437	11.4%
d	16278	11.3%
t	15734	10.9%
i	15575	10.8%
h	15471	10.7%
e	8622	6.0%
c	8622	6.0%
n	8622	6.0%
s	7919	5.5%

Decimal Number

Value	Count	Frequency (%)
0	271270	53.0%
1	72668	14.2%
2	66807	13.0%
7	24830	4.8%
8	21352	4.2%
9	18497	3.6%
3	13430	2.6%
6	10649	2.1%
4	10143	2.0%
5	2546	0.5%

Uppercase Letter

Value	Count	Frequency (%)
M	64024	40.0%
P	39564	24.7%
A	24460	15.3%
F	15734	9.8%
S	8622	5.4%
T	7656	4.8%

Other Punctuation

Value	Count	Frequency (%)
/	64024	50.0%
:	64024	50.0%

Space Separator

Value	Count	Frequency (%)
	128048	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	32012	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	32012	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	32012	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	864324	73.9%
Latin	304545	26.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	64024	21.0%
P	39564	13.0%
A	24460	8.0%
r	23390	7.7%
o	16437	5.4%
d	16278	5.3%
F	15734	5.2%
t	15734	5.2%
i	15575	5.1%
h	15471	5.1%
Other values (7)	57878	19.0%

Common

Value	Count	Frequency (%)
0	271270	31.4%
	128048	14.8%
1	72668	8.4%
2	66807	7.7%
/	64024	7.4%
:	64024	7.4%
(	32012	3.7%
-	32012	3.7%
)	32012	3.7%
7	24830	2.9%
Other values (6)	76617	8.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1168869	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	271270	23.2%
	128048	11.0%
1	72668	6.2%
2	66807	5.7%
/	64024	5.5%
:	64024	5.5%
M	64024	5.5%
P	39564	3.4%
(	32012	2.7%
-	32012	2.7%
Other values (23)	334416	28.6%

ExamSessionDateAD
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	10745
Missing (%)	25.1%
Memory size	334.2 KiB

ExamSessionDateBS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	10745
Missing (%)	25.1%
Memory size	334.2 KiB

Capacity
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	10745
Missing (%)	25.1%
Memory size	334.2 KiB

250.0	19304
225.0	12708

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	160060
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	250.0
2nd row	250.0
3rd row	250.0
4th row	250.0
5th row	250.0

Common Values

Value	Count	Frequency (%)
250.0	19304	45.1%
225.0	12708	29.7%
(Missing)	10745	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
250.0	19304	60.3%
225.0	12708	39.7%

Most occurring characters

Value	Count	Frequency (%)
0	51316	32.1%
2	44720	27.9%
5	32012	20.0%
.	32012	20.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	128048	80.0%
Other Punctuation	32012	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	51316	40.1%
2	44720	34.9%
5	32012	25.0%

Other Punctuation

Value	Count	Frequency (%)
.	32012	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	160060	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	51316	32.1%
2	44720	27.9%
5	32012	20.0%
.	32012	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	160060	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	51316	32.1%
2	44720	27.9%
5	32012	20.0%
.	32012	20.0%

ExamDurationMinute
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	10745
Missing (%)	25.1%
Memory size	334.2 KiB

120.0	32012

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	160060
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	120.0
2nd row	120.0
3rd row	120.0
4th row	120.0
5th row	120.0

Common Values

Value	Count	Frequency (%)
120.0	32012	74.9%
(Missing)	10745	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
120.0	32012	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	64024	40.0%
1	32012	20.0%
2	32012	20.0%
.	32012	20.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	128048	80.0%
Other Punctuation	32012	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	64024	50.0%
1	32012	25.0%
2	32012	25.0%

Other Punctuation

Value	Count	Frequency (%)
.	32012	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	160060	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	64024	40.0%
1	32012	20.0%
2	32012	20.0%
.	32012	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	160060	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	64024	40.0%
1	32012	20.0%
2	32012	20.0%
.	32012	20.0%

IsResultImmediately
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	10745
Missing (%)	25.1%
Memory size	334.2 KiB

0.0	32012

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	96036
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	32012	74.9%
(Missing)	10745	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	32012	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	64024	66.7%
.	32012	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64024	66.7%
Other Punctuation	32012	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	64024	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	32012	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	96036	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	64024	66.7%
.	32012	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96036	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	64024	66.7%
.	32012	33.3%

PageSize
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	10745
Missing (%)	25.1%
Memory size	334.2 KiB

20.0	32012

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	128048
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	20.0
2nd row	20.0
3rd row	20.0
4th row	20.0
5th row	20.0

Common Values

Value	Count	Frequency (%)
20.0	32012	74.9%
(Missing)	10745	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
20.0	32012	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	64024	50.0%
2	32012	25.0%
.	32012	25.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	96036	75.0%
Other Punctuation	32012	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	64024	66.7%
2	32012	33.3%

Other Punctuation

Value	Count	Frequency (%)
.	32012	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	128048	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	64024	50.0%
2	32012	25.0%
.	32012	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	128048	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	64024	50.0%
2	32012	25.0%
.	32012	25.0%

ShiftName
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	10745
Missing (%)	25.1%
Memory size	334.2 KiB

Second	8622
First	7919
Fourth	7815
Third	7656

Length

Max length	6
Median length	6
Mean length	5.513463701
Min length	5

Characters and Unicode

Total characters	176497
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Second
2nd row	Second
3rd row	First
4th row	Second
5th row	Second

Common Values

Value	Count	Frequency (%)
Second	8622	20.2%
First	7919	18.5%
Fourth	7815	18.3%
Third	7656	17.9%
(Missing)	10745	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
second	8622	26.9%
first	7919	24.7%
fourth	7815	24.4%
third	7656	23.9%

Most occurring characters

Value	Count	Frequency (%)
r	23390	13.3%
o	16437	9.3%
d	16278	9.2%
F	15734	8.9%
t	15734	8.9%
i	15575	8.8%
h	15471	8.8%
S	8622	4.9%
e	8622	4.9%
c	8622	4.9%
Other values (4)	32012	18.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	144485	81.9%
Uppercase Letter	32012	18.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	23390	16.2%
o	16437	11.4%
d	16278	11.3%
t	15734	10.9%
i	15575	10.8%
h	15471	10.7%
e	8622	6.0%
c	8622	6.0%
n	8622	6.0%
s	7919	5.5%

Uppercase Letter

Value	Count	Frequency (%)
F	15734	49.2%
S	8622	26.9%
T	7656	23.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	176497	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	23390	13.3%
o	16437	9.3%
d	16278	9.2%
F	15734	8.9%
t	15734	8.9%
i	15575	8.8%
h	15471	8.8%
S	8622	4.9%
e	8622	4.9%
c	8622	4.9%
Other values (4)	32012	18.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	176497	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	23390	13.3%
o	16437	9.3%
d	16278	9.2%
F	15734	8.9%
t	15734	8.9%
i	15575	8.8%
h	15471	8.8%
S	8622	4.9%
e	8622	4.9%
c	8622	4.9%
Other values (4)	32012	18.1%

StartTime
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	10745
Missing (%)	25.1%
Memory size	334.2 KiB

EndTime
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	10745
Missing (%)	25.1%
Memory size	334.2 KiB

FormStatus
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	10741
Missing (%)	25.1%
Memory size	334.2 KiB

2.0	31973
1.0	29
3.0	12
4.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	96048
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	31973	74.8%
1.0	29	0.1%
3.0	12	< 0.1%
4.0	2	< 0.1%
(Missing)	10741	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	31973	99.9%
1.0	29	0.1%
3.0	12	< 0.1%
4.0	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
2	31973	33.3%
1	29	< 0.1%
3	12	< 0.1%
4	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64032	66.7%
Other Punctuation	32016	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	32016	50.0%
2	31973	49.9%
1	29	< 0.1%
3	12	< 0.1%
4	2	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	32016	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	96048	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
2	31973	33.3%
1	29	< 0.1%
3	12	< 0.1%
4	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96048	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	32016	33.3%
0	32016	33.3%
2	31973	33.3%
1	29	< 0.1%
3	12	< 0.1%
4	2	< 0.1%

HasStudentAttemptedExam
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	10741
Missing (%)	25.1%
Memory size	334.2 KiB

1.0	19250
0.0	12766

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	96048
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	19250	45.0%
0.0	12766	29.9%
(Missing)	10741	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	19250	60.1%
0.0	12766	39.9%

Most occurring characters

Value	Count	Frequency (%)
0	44782	46.6%
.	32016	33.3%
1	19250	20.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64032	66.7%
Other Punctuation	32016	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	44782	69.9%
1	19250	30.1%

Other Punctuation

Value	Count	Frequency (%)
.	32016	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	96048	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	44782	46.6%
.	32016	33.3%
1	19250	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96048	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	44782	46.6%
.	32016	33.3%
1	19250	20.0%

FormIndex
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	12765
Distinct (%)	39.9%
Missing	10743
Missing (%)	25.1%
Infinite	0
Infinite (%)	0.0%
Mean	6024.121947

Minimum	1
Maximum	12765
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	334.2 KiB

Quantile statistics

Minimum	1
5-th percentile	569
Q1	2893
median	5918
Q3	9075.75
95-th percentile	11809.35
Maximum	12765
Range	12764
Interquartile range (IQR)	6182.75

Descriptive statistics

Standard deviation	3597.944618
Coefficient of variation (CV)	0.5972562724
Kurtosis	-1.173628843
Mean	6024.121947
Median Absolute Deviation (MAD)	3087
Skewness	0.08225620629
Sum	192856240
Variance	12945205.48
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2981	3	< 0.1%
319	3	< 0.1%
4548	3	< 0.1%
5257	3	< 0.1%
7535	3	< 0.1%
7065	3	< 0.1%
2654	3	< 0.1%
7336	3	< 0.1%
7469	3	< 0.1%
8939	3	< 0.1%
Other values (12755)	31984	74.8%
(Missing)	10743	25.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	3	< 0.1%
2	2	< 0.1%
3	3	< 0.1%
4	2	< 0.1%
5	3	< 0.1%
6	3	< 0.1%
7	3	< 0.1%
8	3	< 0.1%
9	3	< 0.1%
10	3	< 0.1%

Value	Count	Frequency (%)
12765	1	< 0.1%
12764	1	< 0.1%
12763	1	< 0.1%
12762	1	< 0.1%
12761	1	< 0.1%
12760	1	< 0.1%
12759	1	< 0.1%
12758	1	< 0.1%
12757	1	< 0.1%
12756	1	< 0.1%

FacultyID
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	10745
Missing (%)	25.1%
Memory size	334.2 KiB

2.0	32012

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	96036
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	32012	74.9%
(Missing)	10745	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	32012	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	32012	33.3%
.	32012	33.3%
0	32012	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64024	66.7%
Other Punctuation	32012	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	32012	50.0%
0	32012	50.0%

Other Punctuation

Value	Count	Frequency (%)
.	32012	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	96036	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	32012	33.3%
.	32012	33.3%
0	32012	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96036	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	32012	33.3%
.	32012	33.3%
0	32012	33.3%

LevelID
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	10745
Missing (%)	25.1%
Memory size	334.2 KiB

1.0	32012

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	96036
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	32012	74.9%
(Missing)	10745	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	32012	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	32012	33.3%
.	32012	33.3%
0	32012	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64024	66.7%
Other Punctuation	32012	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	32012	50.0%
0	32012	50.0%

Other Punctuation

Value	Count	Frequency (%)
.	32012	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	96036	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	32012	33.3%
.	32012	33.3%
0	32012	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96036	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	32012	33.3%
.	32012	33.3%
0	32012	33.3%

ShiftID
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	10745
Missing (%)	25.1%
Memory size	334.2 KiB

2.0	8622
1.0	7919
4.0	7815
3.0	7656

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	96036
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	1.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	8622	20.2%
1.0	7919	18.5%
4.0	7815	18.3%
3.0	7656	17.9%
(Missing)	10745	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	8622	26.9%
1.0	7919	24.7%
4.0	7815	24.4%
3.0	7656	23.9%

Most occurring characters

Value	Count	Frequency (%)
.	32012	33.3%
0	32012	33.3%
2	8622	9.0%
1	7919	8.2%
4	7815	8.1%
3	7656	8.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64024	66.7%
Other Punctuation	32012	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	32012	50.0%
2	8622	13.5%
1	7919	12.4%
4	7815	12.2%
3	7656	12.0%

Other Punctuation

Value	Count	Frequency (%)
.	32012	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	96036	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	32012	33.3%
0	32012	33.3%
2	8622	9.0%
1	7919	8.2%
4	7815	8.1%
3	7656	8.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96036	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	32012	33.3%
0	32012	33.3%
2	8622	9.0%
1	7919	8.2%
4	7815	8.1%
3	7656	8.0%

FiscalYearID
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	10745
Missing (%)	25.1%
Memory size	334.2 KiB

19.0	19707
17.0	12305

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	128048
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	17.0
2nd row	17.0
3rd row	17.0
4th row	17.0
5th row	17.0

Common Values

Value	Count	Frequency (%)
19.0	19707	46.1%
17.0	12305	28.8%
(Missing)	10745	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
19.0	19707	61.6%
17.0	12305	38.4%

Most occurring characters

Value	Count	Frequency (%)
1	32012	25.0%
.	32012	25.0%
0	32012	25.0%
9	19707	15.4%
7	12305	9.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	96036	75.0%
Other Punctuation	32012	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	32012	33.3%
0	32012	33.3%
9	19707	20.5%
7	12305	12.8%

Other Punctuation

Value	Count	Frequency (%)
.	32012	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	128048	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	32012	25.0%
.	32012	25.0%
0	32012	25.0%
9	19707	15.4%
7	12305	9.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	128048	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	32012	25.0%
.	32012	25.0%
0	32012	25.0%
9	19707	15.4%
7	12305	9.6%

FacultyName
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	10745
Missing (%)	25.1%
Memory size	334.2 KiB

Engineering	32012

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	352132
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Engineering
2nd row	Engineering
3rd row	Engineering
4th row	Engineering
5th row	Engineering

Common Values

Value	Count	Frequency (%)
Engineering	32012	74.9%
(Missing)	10745	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
engineering	32012	100.0%

Most occurring characters

Value	Count	Frequency (%)
n	96036	27.3%
g	64024	18.2%
i	64024	18.2%
e	64024	18.2%
E	32012	9.1%
r	32012	9.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	320120	90.9%
Uppercase Letter	32012	9.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	96036	30.0%
g	64024	20.0%
i	64024	20.0%
e	64024	20.0%
r	32012	10.0%

Uppercase Letter

Value	Count	Frequency (%)
E	32012	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	352132	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	96036	27.3%
g	64024	18.2%
i	64024	18.2%
e	64024	18.2%
E	32012	9.1%
r	32012	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	352132	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	96036	27.3%
g	64024	18.2%
i	64024	18.2%
e	64024	18.2%
E	32012	9.1%
r	32012	9.1%

LevelName
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	10745
Missing (%)	25.1%
Memory size	334.2 KiB

BE / B.Arch.	32012

Length

Max length	12
Median length	12
Mean length	12
Min length	12

Characters and Unicode

Total characters	384144
Distinct characters	9
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BE / B.Arch.
2nd row	BE / B.Arch.
3rd row	BE / B.Arch.
4th row	BE / B.Arch.
5th row	BE / B.Arch.

Common Values

Value	Count	Frequency (%)
BE / B.Arch.	32012	74.9%
(Missing)	10745	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
	32012	33.3%
b.arch	32012	33.3%
be	32012	33.3%

Most occurring characters

Value	Count	Frequency (%)
B	64024	16.7%
	64024	16.7%
.	64024	16.7%
E	32012	8.3%
/	32012	8.3%
A	32012	8.3%
r	32012	8.3%
c	32012	8.3%
h	32012	8.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	128048	33.3%
Other Punctuation	96036	25.0%
Lowercase Letter	96036	25.0%
Space Separator	64024	16.7%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
B	64024	50.0%
E	32012	25.0%
A	32012	25.0%

Lowercase Letter

Value	Count	Frequency (%)
r	32012	33.3%
c	32012	33.3%
h	32012	33.3%

Other Punctuation

Value	Count	Frequency (%)
.	64024	66.7%
/	32012	33.3%

Space Separator

Value	Count	Frequency (%)
	64024	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	224084	58.3%
Common	160060	41.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
B	64024	28.6%
E	32012	14.3%
A	32012	14.3%
r	32012	14.3%
c	32012	14.3%
h	32012	14.3%

Common

Value	Count	Frequency (%)
	64024	40.0%
.	64024	40.0%
/	32012	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	384144	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
B	64024	16.7%
	64024	16.7%
.	64024	16.7%
E	32012	8.3%
/	32012	8.3%
A	32012	8.3%
r	32012	8.3%
c	32012	8.3%
h	32012	8.3%

FiscalYearName
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	10745
Missing (%)	25.1%
Memory size	334.2 KiB

2077.0	12708
2074.0	12305
2076.0	6999

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	192072
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2074.0
2nd row	2074.0
3rd row	2074.0
4th row	2074.0
5th row	2074.0

Common Values

Value	Count	Frequency (%)
2077.0	12708	29.7%
2074.0	12305	28.8%
2076.0	6999	16.4%
(Missing)	10745	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2077.0	12708	39.7%
2074.0	12305	38.4%
2076.0	6999	21.9%

Most occurring characters

Value	Count	Frequency (%)
0	64024	33.3%
7	44720	23.3%
2	32012	16.7%
.	32012	16.7%
4	12305	6.4%
6	6999	3.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	160060	83.3%
Other Punctuation	32012	16.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	64024	40.0%
7	44720	27.9%
2	32012	20.0%
4	12305	7.7%
6	6999	4.4%

Other Punctuation

Value	Count	Frequency (%)
.	32012	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	192072	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	64024	33.3%
7	44720	23.3%
2	32012	16.7%
.	32012	16.7%
4	12305	6.4%
6	6999	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	192072	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	64024	33.3%
7	44720	23.3%
2	32012	16.7%
.	32012	16.7%
4	12305	6.4%
6	6999	3.6%

RollNoString
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42757
Missing (%)	100.0%
Memory size	334.2 KiB

PhotoDocumentID
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	32016
Distinct (%)	100.0%
Missing	10741
Missing (%)	25.1%
Infinite	0
Infinite (%)	0.0%
Mean	195489.048

Minimum	106854
Maximum	287938
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	334.2 KiB

Quantile statistics

Minimum	106854
5-th percentile	112389.5
Q1	131597.25
median	203064.5
Q3	249434.25
95-th percentile	279441.5
Maximum	287938
Range	181084
Interquartile range (IQR)	117837

Descriptive statistics

Standard deviation	60084.72656
Coefficient of variation (CV)	0.307355973
Kurtosis	-1.544674968
Mean	195489.048
Median Absolute Deviation (MAD)	62120
Skewness	-0.08682372072
Sum	6258777361
Variance	3610174365
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
276220	1	< 0.1%
239539	1	< 0.1%
188519	1	< 0.1%
190008	1	< 0.1%
262960	1	< 0.1%
263499	1	< 0.1%
190186	1	< 0.1%
140996	1	< 0.1%
136349	1	< 0.1%
127020	1	< 0.1%
Other values (32006)	32006	74.9%
(Missing)	10741	25.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
106854	1	< 0.1%
106860	1	< 0.1%
106865	1	< 0.1%
106868	1	< 0.1%
106871	1	< 0.1%
106874	1	< 0.1%
106877	1	< 0.1%
106882	1	< 0.1%
106885	1	< 0.1%
106891	1	< 0.1%

Value	Count	Frequency (%)
287938	1	< 0.1%
287935	1	< 0.1%
287932	1	< 0.1%
287929	1	< 0.1%
287926	1	< 0.1%
287923	1	< 0.1%
287920	1	< 0.1%
287917	1	< 0.1%
287913	1	< 0.1%
287910	1	< 0.1%

ExamRollNo
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42757
Missing (%)	100.0%
Memory size	334.2 KiB

Active
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	10741
Missing (%)	25.1%
Memory size	334.2 KiB

1.0	32014
0.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	96048
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	32014	74.9%
0.0	2	< 0.1%
(Missing)	10741	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	32014	> 99.9%
0.0	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	32018	33.3%
.	32016	33.3%
1	32014	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64032	66.7%
Other Punctuation	32016	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	32018	50.0%
1	32014	50.0%

Other Punctuation

Value	Count	Frequency (%)
.	32016	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	96048	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	32018	33.3%
.	32016	33.3%
1	32014	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96048	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	32018	33.3%
.	32016	33.3%
1	32014	33.3%

ExamStartedTime
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	11569
Missing (%)	27.1%
Memory size	334.2 KiB

CreatedBy
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	10741
Missing (%)	25.1%
Memory size	334.2 KiB

2.0	24370
0.0	7646

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	96048
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	0.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	24370	57.0%
0.0	7646	17.9%
(Missing)	10741	25.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	24370	76.1%
0.0	7646	23.9%

Most occurring characters

Value	Count	Frequency (%)
0	39662	41.3%
.	32016	33.3%
2	24370	25.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64032	66.7%
Other Punctuation	32016	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	39662	61.9%
2	24370	38.1%

Other Punctuation

Value	Count	Frequency (%)
.	32016	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	96048	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	39662	41.3%
.	32016	33.3%
2	24370	25.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96048	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	39662	41.3%
.	32016	33.3%
2	24370	25.4%

CreatedDate
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	10741
Missing (%)	25.1%
Memory size	334.2 KiB

ModifiedBy
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.1%
Missing	35537
Missing (%)	83.1%
Memory size	334.2 KiB

2.0	3018
1.0	1697
9.0	1315
0.0	1190

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	21660
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	2.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
2.0	3018	7.1%
1.0	1697	4.0%
9.0	1315	3.1%
0.0	1190	2.8%
(Missing)	35537	83.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	3018	41.8%
1.0	1697	23.5%
9.0	1315	18.2%
0.0	1190	16.5%

Most occurring characters

Value	Count	Frequency (%)
0	8410	38.8%
.	7220	33.3%
2	3018	13.9%
1	1697	7.8%
9	1315	6.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	14440	66.7%
Other Punctuation	7220	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	8410	58.2%
2	3018	20.9%
1	1697	11.8%
9	1315	9.1%

Other Punctuation

Value	Count	Frequency (%)
.	7220	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	21660	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	8410	38.8%
.	7220	33.3%
2	3018	13.9%
1	1697	7.8%
9	1315	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21660	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	8410	38.8%
.	7220	33.3%
2	3018	13.9%
1	1697	7.8%
9	1315	6.1%

ModifiedDate
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	35537
Missing (%)	83.1%
Memory size	334.2 KiB

SLCBoardName
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	30049
Missing (%)	70.3%
Memory size	334.2 KiB

Nepal Gov	12505
Other	203

Length

Max length	9
Median length	9
Mean length	8.936103242
Min length	5

Characters and Unicode

Total characters	113560
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Nepal Gov
2nd row	Nepal Gov
3rd row	Nepal Gov
4th row	Nepal Gov
5th row	Nepal Gov

Common Values

Value	Count	Frequency (%)
Nepal Gov	12505	29.2%
Other	203	0.5%
(Missing)	30049	70.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
gov	12505	49.6%
nepal	12505	49.6%
other	203	0.8%

Most occurring characters

Value	Count	Frequency (%)
e	12708	11.2%
N	12505	11.0%
p	12505	11.0%
a	12505	11.0%
l	12505	11.0%
	12505	11.0%
G	12505	11.0%
o	12505	11.0%
v	12505	11.0%
O	203	0.2%
Other values (3)	609	0.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	75842	66.8%
Uppercase Letter	25213	22.2%
Space Separator	12505	11.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	12708	16.8%
p	12505	16.5%
a	12505	16.5%
l	12505	16.5%
o	12505	16.5%
v	12505	16.5%
t	203	0.3%
h	203	0.3%
r	203	0.3%

Uppercase Letter

Value	Count	Frequency (%)
N	12505	49.6%
G	12505	49.6%
O	203	0.8%

Space Separator

Value	Count	Frequency (%)
	12505	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	101055	89.0%
Common	12505	11.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	12708	12.6%
N	12505	12.4%
p	12505	12.4%
a	12505	12.4%
l	12505	12.4%
G	12505	12.4%
o	12505	12.4%
v	12505	12.4%
O	203	0.2%
t	203	0.2%
Other values (2)	406	0.4%

Common

Value	Count	Frequency (%)
	12505	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	113560	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	12708	11.2%
N	12505	11.0%
p	12505	11.0%
a	12505	11.0%
l	12505	11.0%
	12505	11.0%
G	12505	11.0%
o	12505	11.0%
v	12505	11.0%
O	203	0.2%
Other values (3)	609	0.5%

PCLBoardName
Categorical

HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	< 0.1%
Missing	30049
Missing (%)	70.3%
Memory size	334.2 KiB

HSEB/NEB	12127
CTEVT	294
Cambridge University	140
Other	67
CBSE	47

Length

Max length	20
Median length	8
Mean length	8.016603714
Min length	2

Characters and Unicode

Total characters	101875
Distinct characters	26
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	HSEB/NEB
2nd row	HSEB/NEB
3rd row	HSEB/NEB
4th row	HSEB/NEB
5th row	HSEB/NEB

Common Values

Value	Count	Frequency (%)
HSEB/NEB	12127	28.4%
CTEVT	294	0.7%
Cambridge University	140	0.3%
Other	67	0.2%
CBSE	47	0.1%
TU	33	0.1%
(Missing)	30049	70.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
hseb/neb	12127	94.4%
ctevt	294	2.3%
university	140	1.1%
cambridge	140	1.1%
other	67	0.5%
cbse	47	0.4%
tu	33	0.3%

Most occurring characters

Value	Count	Frequency (%)
E	24595	24.1%
B	24301	23.9%
S	12174	11.9%
H	12127	11.9%
/	12127	11.9%
N	12127	11.9%
T	621	0.6%
C	481	0.5%
i	420	0.4%
e	347	0.3%
Other values (16)	2555	2.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	86960	85.4%
Other Punctuation	12127	11.9%
Lowercase Letter	2648	2.6%
Space Separator	140	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	420	15.9%
e	347	13.1%
r	347	13.1%
t	207	7.8%
a	140	5.3%
m	140	5.3%
b	140	5.3%
d	140	5.3%
g	140	5.3%
n	140	5.3%
Other values (4)	487	18.4%

Uppercase Letter

Value	Count	Frequency (%)
E	24595	28.3%
B	24301	27.9%
S	12174	14.0%
H	12127	13.9%
N	12127	13.9%
T	621	0.7%
C	481	0.6%
V	294	0.3%
U	173	0.2%
O	67	0.1%

Other Punctuation

Value	Count	Frequency (%)
/	12127	100.0%

Space Separator

Value	Count	Frequency (%)
	140	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	89608	88.0%
Common	12267	12.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	24595	27.4%
B	24301	27.1%
S	12174	13.6%
H	12127	13.5%
N	12127	13.5%
T	621	0.7%
C	481	0.5%
i	420	0.5%
e	347	0.4%
r	347	0.4%
Other values (14)	2068	2.3%

Common

Value	Count	Frequency (%)
/	12127	98.9%
	140	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	101875	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	24595	24.1%
B	24301	23.9%
S	12174	11.9%
H	12127	11.9%
/	12127	11.9%
N	12127	11.9%
T	621	0.6%
C	481	0.5%
i	420	0.4%
e	347	0.3%
Other values (16)	2555	2.5%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	FormNo	FirstName	MiddleName	LastName	MunicipalityVdc	WardNo	Gender	BirthDateBS	BirthDateAD	SLCSchoolName	SLCSymbolNo	SLCPassedYear	SLCPassedYearCalendar	SLCPercentage	PCLSymbolNo	PCLSchoolName	PCLPercentage	PCLPassedYear	PCLPassedYearCalendar	EthnicGroupID	FatherFirstName	FatherMiddleName	FatherLastName	MotherFirstName	MotherMiddleName	MotherLastName	DistrictCode	DistrictName	NationalityName	IdentificationTypeName	FullName	EntranceScore	EntranceRank	date	StudentID	VoucherNo	StudentCode	ContactNo	Email	NationalityID	CountryID	IndianEmbassyID	ExamCenterID	ExamSessionID	ZoneID	DistrictID	SLCEquivalentID	SLCBoardID	PCLEquivalentID	PCLBoardID	PCLResultTypeID	PCLLocationID	EthnicGroupSpecify	SLCEquivalentSpecify	SLCBoardSpecify	PCLEquivalentSpecify	PCLBoardSpecify	SLCSchoolDistrictID	SLCSchoolFullAddress	PCLSchoolDistrictID	PCLSchoolFullAddress	InstitutionTypeID	IdentificationTypeID	IdentificationNo	FormSubmittedDate	CheckedBy	IsAccepted	IsSubmitted	Password	RejectReason	ExamSessionName	ExamSessionDateAD	ExamSessionDateBS	Capacity	ExamDurationMinute	IsResultImmediately	PageSize	ShiftName	StartTime	EndTime	FormStatus	HasStudentAttemptedExam	FormIndex	FacultyID	LevelID	ShiftID	FiscalYearID	FacultyName	LevelName	FiscalYearName	RollNoString	PhotoDocumentID	ExamRollNo	Active	ExamStartedTime	CreatedBy	CreatedDate	ModifiedBy	ModifiedDate	SLCBoardName	PCLBoardName
0	2073-1	Aashutosh	NaN	Adhikari	Chitrawan	8.0	Male	2056-04-19 00:00:00	1999-08-04 00:00:00	Triyog Higher Secondary School	0316797M	2070	BS	89.88	27612125	Liverpool International College	NaN	NaN	BS	NaN	Pitri	Bhakta	Adhikari	Subhadra	NaN	Wagle	35.0	Chitawan	Nepali	Citizenship	Aashutosh Adhikari	73.286	245.0	2073	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	2073-2	Bikal	NaN	Yonjan	Bishnupurkatti	1.0	Male	2053-04-13 00:00:00	1996-07-28 00:00:00	Greenland English Boarding School	0166329 G	2068	BS	69.75	22712320	The New Summit H.S School	65.1	2071.0	BS	NaN	Bhailal	NaN	Yonjan	Lalita	Kumari	Lama	16.0	Siraha	Nepali	Citizenship	Bikal Yonjan	NaN	NaN	2073	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2	2073-3	Shramik	NaN	Rimal	Bidur	8.0	Male	2055-01-18 00:00:00	1998-05-01 00:00:00	Bagmati Boarding H.S. School	310622Z	2070	BS	87.50	27600939	Kathmandu Model H.S. School	NaN	NaN	BS	NaN	Krishna	Prasad	Rimal	Sita	Adhikari	Rimal	28.0	Nuwakot	Nepali	Citizenship	Shramik Rimal	NaN	NaN	2073	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3	2073-4	SHISHIR	NaN	KHADKA	Bhimeshwor	6.0	Male	2055-08-05 00:00:00	1998-11-21 00:00:00	Sainik Awasiya Mahavidhyalaya	0281744 H	2070	BS	84.88	22602033	Sainik Awasiya Mahavidhyalaya H S School	NaN	NaN	BS	NaN	Shiva	Bahadur	Khadka	Sirjana	NaN	Khadka	22.0	Dolakha	Nepali	Citizenship	SHISHIR KHADKA	45.786	3327.0	2073	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
4	2073-5	durga	raj	nepal	prangbung	4.0	Male	2053-08-05 00:00:00	1996-11-20 00:00:00	bud international public school	0049789y	2070	BS	72.00	20400853	COHED	NaN	NaN	BS	NaN	devi	prasad	nepal	menuka	NaN	nepal	2.0	Panchthar	Nepali	Citizenship	durga raj nepal	NaN	NaN	2073	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5	2073-7	Saurav	Sagar	Ray	Phulahatta Parikauli	7.0	Male	2056-03-04 00:00:00	1999-06-18 00:00:00	REHDON Higher Secondary School	0300695E	2070	BS	84.13	27600387	Kathmandu Model Higher Secondary School	NaN	NaN	BS	NaN	Pashupati	Kumar	Ray	Pushpa	Kumari	Singh	18.0	Mahottari	Nepali	Citizenship	Saurav Sagar Ray	63.071	763.0	2073	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
6	2073-6	SURAJ	NaN	BAIDYA	BHAKTAPUR	6.0	Male	2056-09-02 00:00:00	1999-12-17 00:00:00	OM SECONDARY SCHOOL	0281356J	2070	BS	69.38	22703843	V S NIKETAN H S S	NaN	NaN	BS	NaN	SURENDRA	LAL	BAIDYA	RAJANI	NaN	BAIDYA	26.0	Bhaktapur	Nepali	Citizenship	SURAJ BAIDYA	NaN	NaN	2073	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7	2073-9	Kashiram	NaN	Khadka	Khalanga	5.0	Male	2053-04-26 00:00:00	1996-08-10 00:00:00	Shree Tribhuvan Janata H.S.S	0540042 V	2069	BS	69.25	22700366	National School Of Science	67.3	2072.0	BS	NaN	Kumbir	NaN	Khadka	Aaiti	NaN	khadka	54.0	Rukum	Nepali	Citizenship	Kashiram Khadka	61.429	907.0	2073	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
8	2073-8	rohit	NaN	rajbanshi	birtamod	9.0	Male	2055-05-12 00:00:00	1998-08-28 00:00:00	birat jyoti english boarding secondary higher school	0047664f	2070	BS	76.74	20400879	COHED	NaN	NaN	BS	NaN	dhan	bahadur	rajbanshi	padma	NaN	rajbanshi	4.0	Jhapa	Nepali	Citizenship	rohit rajbanshi	48.143	2830.0	2073	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
9	2073-10	BIPLAB	NaN	KARKI	Madhya Nepal	7.0	Male	2056-05-21 00:00:00	1999-09-06 00:00:00	Bright Future Secondary School	0299388X	2070	BS	88.75	22700290	National school of Sciences	NaN	NaN	BS	NaN	Shiva	NaN	Karki	Bimala	Devi	Karki	37.0	Lamjung	Nepali	Citizenship	BIPLAB KARKI	76.429	152.0	2073	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Last rows

	FormNo	FirstName	MiddleName	LastName	MunicipalityVdc	WardNo	Gender	BirthDateBS	BirthDateAD	SLCSchoolName	SLCSymbolNo	SLCPassedYear	SLCPassedYearCalendar	SLCPercentage	PCLSymbolNo	PCLSchoolName	PCLPercentage	PCLPassedYear	PCLPassedYearCalendar	EthnicGroupID	FatherFirstName	FatherMiddleName	FatherLastName	MotherFirstName	MotherMiddleName	MotherLastName	DistrictCode	DistrictName	NationalityName	IdentificationTypeName	FullName	EntranceScore	EntranceRank	date	StudentID	VoucherNo	StudentCode	ContactNo	Email	NationalityID	CountryID	IndianEmbassyID	ExamCenterID	ExamSessionID	ZoneID	DistrictID	SLCEquivalentID	SLCBoardID	PCLEquivalentID	PCLBoardID	PCLResultTypeID	EthnicGroupSpecify	SLCEquivalentSpecify	SLCBoardSpecify	PCLEquivalentSpecify	PCLBoardSpecify	SLCSchoolDistrictID	SLCSchoolFullAddress	PCLSchoolDistrictID	PCLSchoolFullAddress	IdentificationTypeID	IdentificationNo	FormSubmittedDate	CheckedBy	IsAccepted	IsSubmitted	Password	RejectReason	ExamSessionName	ExamSessionDateAD	ExamSessionDateBS	Capacity	ExamDurationMinute	PageSize	ShiftName	StartTime	EndTime	FormStatus	HasStudentAttemptedExam	FormIndex	FacultyID	LevelID	ShiftID	FiscalYearID	FacultyName	LevelName	FiscalYearName	RollNoString	PhotoDocumentID	ExamRollNo	Active	ExamStartedTime	CreatedBy	CreatedDate	ModifiedBy	ModifiedDate	SLCBoardName	PCLBoardName
42747	2077-12702	Bindesh	NaN	Nepal	Resunga municipality	9.0	Male	2058/09/12	2001-12-27 00:00:00.000	Shree resunga secondary school	8460071 I	2075	BS	3.64	24602551	Shree resunga secondary school	NaN	NaN	BS	NaN	Tek	Bahadur	Nepal	Laxmi	NaN	Nepal	46.0	Gulmi	Nepali	Last Exam Admit Card	Bindesh Nepal	NaN	NaN	2077	20599.0	05BTZKU	2021-20599	9.840957e+09	bindeshnepal666@gmail.com	1.0	1.0	NaN	1.0	57.0	9.0	44.0	3.0	1.0	1.0	1.0	1.0	NaN	NaN	NaN	NaN	NaN	44.0	NaN	44.0	NaN	4.0	24602551	2021-01-17 00:00:00.000	NaN	1.0	1.0	a3YNx	NaN	02/10/2021 Third(01:00 PM-03:00 PM)	2021-02-10 00:00:00.000	2077/10/28	225.0	120.0	20.0	Third	13:00:00.0000000	15:00:00.0000000	2.0	1.0	12702.0	2.0	1.0	3.0	19.0	Engineering	BE / B.Arch.	2077.0	NaN	283298.0	NaN	1.0	2021-02-10 13:00:00.000	2.0	2021-01-17 17:24:09.120	2.0	2021-01-17 17:25:26.780	Nepal Gov	HSEB/NEB
42748	2077-12704	Ramesh	NaN	Khadka	Kamalbajar	2.0	Male	2057/12/19	2001-04-01 00:00:00.000	Rarahil memorial school	0296031U	2073	BS	3.70	22506075	DAV college	NaN	NaN	BS	NaN	Gagan	Singh	Khadka	Sabitra	NaN	Khadka	69.0	Achham	Nepali	Citizenship	Ramesh Khadka	86.6	875.0	2077	20600.0	106979	2021-20600	9.863468e+09	Rk1653886@gmail.com	1.0	1.0	NaN	1.0	57.0	14.0	76.0	1.0	1.0	1.0	1.0	5.0	NaN	NaN	NaN	NaN	NaN	4.0	NaN	4.0	NaN	1.0	69-01-76-01942	2021-01-17 00:00:00.000	NaN	1.0	1.0	Qt54W	NaN	02/10/2021 Third(01:00 PM-03:00 PM)	2021-02-10 00:00:00.000	2077/10/28	225.0	120.0	20.0	Third	13:00:00.0000000	15:00:00.0000000	2.0	1.0	12704.0	2.0	1.0	3.0	19.0	Engineering	BE / B.Arch.	2077.0	NaN	283302.0	NaN	1.0	2021-02-10 13:00:00.000	0.0	2021-01-17 17:25:36.437	NaN	NaN	Nepal Gov	HSEB/NEB
42749	2077-12703	Sachin	Kumar	Gupta	Bariyarpur	2.0	Male	2050/07/19	1993-11-04 00:00:00.000	Mitra High School	0303847K	2066	BS	82.63	22503189	Prasadi Academy	62.20	2069.0	BS	NaN	Tarkeshwor	Prasad	Kalwar	Shila	Devi	Gupta	32.0	Rautahat	Nepali	Citizenship	Sachin Kumar Gupta	NaN	NaN	2077	20601.0	11691402	2021-20600	9.741243e+09	hi.bksachin@gmail.com	1.0	1.0	NaN	1.0	57.0	3.0	59.0	1.0	1.0	1.0	1.0	5.0	NaN	NaN	NaN	NaN	NaN	4.0	NaN	6.0	NaN	1.0	323090/6	2021-01-17 00:00:00.000	NaN	1.0	1.0	f8SGs	NaN	02/10/2021 Third(01:00 PM-03:00 PM)	2021-02-10 00:00:00.000	2077/10/28	225.0	120.0	20.0	Third	13:00:00.0000000	15:00:00.0000000	2.0	1.0	12703.0	2.0	1.0	3.0	19.0	Engineering	BE / B.Arch.	2077.0	NaN	283305.0	NaN	1.0	2021-02-10 13:00:00.000	2.0	2021-01-17 17:25:36.877	NaN	NaN	Nepal Gov	HSEB/NEB
42750	2077-12705	Manoj	NaN	Nath Yogi	Sanpebagar	4.0	Male	2058/09/25	2002-01-09 00:00:00.000	Asian Public School	0311593I	2074	BS	3.90	NP742/3618	Global College International	4.00	2020.0	AD	NaN	Bhajan	NaN	Nath	Saraswati	NaN	Nath	69.0	Achham	Nepali	Citizenship	Manoj Nath yogi	59.4	3725.0	2077	20602.0	05BU0WY	2021-20602	9.741717e+09	manojnath112@gmail.com	1.0	1.0	NaN	1.0	57.0	14.0	76.0	1.0	1.0	5.0	5.0	5.0	NaN	NaN	NaN	NaN	NaN	4.0	NaN	4.0	NaN	1.0	69-01-75-00061	2021-01-17 00:00:00.000	NaN	1.0	1.0	a5W6D	NaN	02/10/2021 Third(01:00 PM-03:00 PM)	2021-02-10 00:00:00.000	2077/10/28	225.0	120.0	20.0	Third	13:00:00.0000000	15:00:00.0000000	2.0	1.0	12705.0	2.0	1.0	3.0	19.0	Engineering	BE / B.Arch.	2077.0	NaN	283308.0	NaN	1.0	2021-02-10 13:00:00.000	0.0	2021-01-17 17:55:57.397	NaN	NaN	Nepal Gov	Cambridge University
42751	2077-12706	Shrawan	Kumar	Das	Ishorpur	15.0	Male	2056/03/11	1999-06-25 00:00:00.000	Shree Janta MA VI	0222046 F	2073	BS	2.45	31701264	Rajarshi Janak S.S	NaN	NaN	BS	NaN	NawalKishor	NaN	Das	Parwati	Devi	Das	19.0	Sarlahi	Nepali	Citizenship	Shrawan Kumar Das	NaN	NaN	2077	20603.0	105303	2021-20603	9.810016e+09	shrawandas623@gmail.com	1.0	1.0	NaN	1.0	57.0	2.0	30.0	1.0	1.0	1.0	1.0	1.0	NaN	NaN	NaN	NaN	NaN	30.0	NaN	32.0	NaN	1.0	19-01-74-02309	2021-01-17 00:00:00.000	NaN	1.0	1.0	Yb89W	NaN	02/10/2021 Third(01:00 PM-03:00 PM)	2021-02-10 00:00:00.000	2077/10/28	225.0	120.0	20.0	Third	13:00:00.0000000	15:00:00.0000000	2.0	1.0	12706.0	2.0	1.0	3.0	19.0	Engineering	BE / B.Arch.	2077.0	NaN	283310.0	NaN	1.0	2021-02-10 13:00:00.000	2.0	2021-01-17 17:58:31.427	NaN	NaN	Nepal Gov	HSEB/NEB
42752	2077-12708	Sunil	NaN	shrestha	Himganga	3.0	Male	2056/07/19	1999-11-05 00:00:00.000	Renuka Devi Ma vi	0183202F	2071	BS	63.88	204229	Acme Engineering College	71.53	2019.0	AD	NaN	Pan	Bahadur	Newar	Tika	Maya	Newar	21.0	Ramechhap	Nepali	Citizenship	Sunil Shrestha	NaN	NaN	2077	20604.0	5419472	2021-20604	9.844316e+09	xthasunil4@gmail.com	1.0	1.0	NaN	1.0	57.0	2.0	28.0	1.0	1.0	3.0	4.0	5.0	NaN	NaN	NaN	NaN	NaN	28.0	NaN	28.0	NaN	1.0	21-01-72-03678	2021-01-17 00:00:00.000	NaN	1.0	1.0	y7QHb	NaN	02/10/2021 Third(01:00 PM-03:00 PM)	2021-02-10 00:00:00.000	2077/10/28	225.0	120.0	20.0	Third	13:00:00.0000000	15:00:00.0000000	2.0	1.0	12708.0	2.0	1.0	3.0	19.0	Engineering	BE / B.Arch.	2077.0	NaN	284687.0	NaN	1.0	2021-02-10 13:00:00.000	2.0	2021-01-17 18:02:10.300	9.0	2021-01-21 12:24:07.677	Nepal Gov	CTEVT
42753	2077-12707	Ankit	NaN	Khadka	Helambu	3.0	Male	2057/04/08	2000-07-23 00:00:00.000	Mahan Siddhartha School	0316121M	2073	BS	3.55	22504653	Advance Academy Secondary School	2.65	2076.0	BS	NaN	Yubaraj	NaN	Khadka	Goma	NaN	Khadka	23.0	Sindhupalchok	Nepali	Citizenship	Ankit Khadka	47.6	6382.0	2077	20605.0	05BRB3G	2021-20605	9.845436e+09	ankitkhadka8848.86@gmail.com	1.0	1.0	NaN	1.0	57.0	1.0	8.0	1.0	1.0	1.0	1.0	5.0	NaN	NaN	NaN	NaN	NaN	4.0	NaN	4.0	NaN	1.0	24107600208	2021-01-17 00:00:00.000	NaN	1.0	1.0	Et98P	NaN	02/10/2021 Third(01:00 PM-03:00 PM)	2021-02-10 00:00:00.000	2077/10/28	225.0	120.0	20.0	Third	13:00:00.0000000	15:00:00.0000000	2.0	1.0	12707.0	2.0	1.0	3.0	19.0	Engineering	BE / B.Arch.	2077.0	NaN	283316.0	NaN	1.0	2021-02-10 13:00:00.000	0.0	2021-01-17 18:12:46.447	NaN	NaN	Nepal Gov	HSEB/NEB
42754	2077-12709	Buddha	NaN	Tamang	Changunarayan	2.0	Male	2058/02/10	2001-05-23 00:00:00.000	Canvas boarding high school	0306747Y	2074	BS	3.70	22600506	Khwopa secodary school	NaN	NaN	BS	NaN	Chyangba	NaN	Tamang	Maili	NaN	Tamangni	26.0	Bhaktapur	Nepali	Citizenship	Buddha Tamang	NaN	NaN	2077	20606.0	11685536	2021-20606	9.803285e+09	buddhatmg2468@gmail.com	1.0	1.0	NaN	1.0	57.0	1.0	5.0	1.0	1.0	1.0	1.0	1.0	NaN	NaN	NaN	NaN	NaN	4.0	NaN	5.0	NaN	1.0	30-10-77-04384	2021-01-17 00:00:00.000	NaN	1.0	0.0	Wr8s7	NaN	02/10/2021 Third(01:00 PM-03:00 PM)	2021-02-10 00:00:00.000	2077/10/28	225.0	120.0	20.0	Third	13:00:00.0000000	15:00:00.0000000	2.0	0.0	12709.0	2.0	1.0	3.0	19.0	Engineering	BE / B.Arch.	2077.0	NaN	283318.0	NaN	1.0	NaN	2.0	2021-01-17 18:19:56.153	NaN	NaN	Nepal Gov	HSEB/NEB
42755	2077-12710	Bibek	NaN	Khatri	Dhangadhi	3.0	Male	2060/11/08	2004-02-20 00:00:00.000	Bibek Khatri	17100866	2074	BS	3.20	17100866	Aishwarya Videya Niketan	NaN	NaN	BS	NaN	Dinesh	NaN	Khatri	Mamta	NaN	Khatri	71.0	Kailali	Nepali	Citizenship	Bibek Khatri	NaN	NaN	2077	20607.0	05BR81S	2021-20607	9.814600e+09	Khatribipin19@gmail.com	1.0	1.0	NaN	1.0	57.0	14.0	78.0	1.0	1.0	1.0	1.0	1.0	NaN	NaN	NaN	NaN	NaN	78.0	NaN	78.0	NaN	1.0	67-01-77-00444	2021-01-17 00:00:00.000	NaN	1.0	1.0	Cy4n8	NaN	02/10/2021 Third(01:00 PM-03:00 PM)	2021-02-10 00:00:00.000	2077/10/28	225.0	120.0	20.0	Third	13:00:00.0000000	15:00:00.0000000	2.0	1.0	12710.0	2.0	1.0	3.0	19.0	Engineering	BE / B.Arch.	2077.0	NaN	283321.0	NaN	1.0	2021-02-10 13:00:00.000	0.0	2021-01-17 18:34:52.553	NaN	NaN	Nepal Gov	HSEB/NEB
42756	2077-12711	Anuja	NaN	Adhikari	Chulachuli	2.0	Female	2060/05/22	2003-09-08 00:00:00.000	Gyanodaya Secondary School	8290027E	2074	BS	3.84	27800649	Gyanodaya Secondary School	NaN	NaN	BS	NaN	Chandra	NaN	Adhikari	Shanta	Devi	Khatiwada	3.0	Ilam	Nepali	Citizenship	Anuja Adhikari	NaN	NaN	2077	20608.0	05BREUE	2021-20608	9.863227e+09	annuzaadhikari@gmail.com	1.0	1.0	NaN	1.0	57.0	5.0	55.0	3.0	1.0	1.0	1.0	1.0	NaN	NaN	NaN	NaN	NaN	4.0	NaN	4.0	NaN	1.0	03-01-76-02254	2021-01-17 00:00:00.000	NaN	1.0	1.0	Dg6k9	NaN	02/10/2021 Third(01:00 PM-03:00 PM)	2021-02-10 00:00:00.000	2077/10/28	225.0	120.0	20.0	Third	13:00:00.0000000	15:00:00.0000000	2.0	1.0	12711.0	2.0	1.0	3.0	19.0	Engineering	BE / B.Arch.	2077.0	NaN	283323.0	NaN	1.0	2021-02-10 13:00:00.000	2.0	2021-01-17 19:13:29.910	NaN	NaN	Nepal Gov	HSEB/NEB

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Space Separator

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script